Changes

On December 2, 2024 at 11:48:06 PM UTC, admin:
Changed title to Microsoft COCO: Common objects in context (previously Microsoft COCO: Common Objects in Context)
Set author of Microsoft COCO: Common objects in context to Pedro O. Pinheiro (previously Tsung-Yi Lin)
Updated description of Microsoft COCO: Common objects in context from
This paper proposes a framework to address the issue of requiring precise masks for existing FSS tasks, which address weakly-supervised few-shot segmentation tasks with only category information.
to
The COCO dataset is a large-scale benchmark for object detection and segmentation.
Removed the following tags from Microsoft COCO: Common objects in context
Added the following tags to Microsoft COCO: Common objects in context
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2406.13316 in Microsoft COCO: Common objects in context
Changed value of field extra_authors to [{'extra_author': 'Tsung-Yi Lin', 'orcid': ''}, {'extra_author': 'Ronan Collobert', 'orcid': ''}, {'extra_author': 'Piotr Doll´ar', 'orcid': ''}] in Microsoft COCO: Common objects in context
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2107.11291', 'https://doi.org/10.48550/arXiv.1803.07066', 'https://doi.org/10.48550/arXiv.2108.02266', 'https://doi.org/10.48550/arXiv.1709.01476'] in Microsoft COCO: Common objects in context
Deleted resource Original Metadata from Microsoft COCO: Common objects in context
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Tsung-Yi Lin", n 3   "author": "Pedro O. Pinheiro",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n 6     "https://doi.org/10.48550/arXiv.2206.04664", n 
            7     "https://doi.org/10.48550/arXiv.2303.17908", 6     "https://doi.org/10.48550/arXiv.2107.11291",
            8     "https://doi.org/10.48550/arXiv.1708.04225", 
            9     "https://doi.org/10.48550/arXiv.2203.05294", 
            10     "https://doi.org/10.48550/arXiv.2206.06363", 
            11     "https://doi.org/10.48550/arXiv.2406.14924", 
            12     "https://doi.org/10.1016/j.knosys.2024.112004", 
            13     "https://doi.org/10.48550/arXiv.2305.16103", 
            14     "https://doi.org/10.48550/arXiv.2305.17718", 
            15     "https://doi.org/10.48550/arXiv.1604.00466", 7     "https://doi.org/10.48550/arXiv.1803.07066",
            16     "https://doi.org/10.48550/arXiv.1812.10889", 
            17     "https://doi.org/10.48550/arXiv.2212.00280" 8     "https://doi.org/10.48550/arXiv.2108.02266",
            9     "https://doi.org/10.48550/arXiv.1709.01476"
            18   ], 10   ],
            19   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 11   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 20   "defined_in": "https://doi.org/10.48550/arXiv.2301.08898", n 12   "defined_in": "https://doi.org/10.48550/arXiv.2406.13316",
            21   "doi": "10.57702/lydv1ylk", 13   "doi": "10.57702/lydv1ylk",
            22   "doi_date_published": "2024-12-02", 14   "doi_date_published": "2024-12-02",
            23   "doi_publisher": "TIB", 15   "doi_publisher": "TIB",
            24   "doi_status": true, 16   "doi_status": true,
            25   "domain": "https://service.tib.eu/ldmservice", 17   "domain": "https://service.tib.eu/ldmservice",
            26   "extra_authors": [ 18   "extra_authors": [
            27     { 19     {
            n 28       "extra_author": "Michael Maire", n 20       "extra_author": "Tsung-Yi Lin",
            29       "orcid": "" 21       "orcid": ""
            30     }, 22     },
            31     { 23     {
            n 32       "extra_author": "Serge Belongie", n 24       "extra_author": "Ronan Collobert",
            33       "orcid": "" 25       "orcid": ""
            34     }, 26     },
            35     { 27     {
            n 36       "extra_author": "James Hays", n 
            37       "orcid": "" 
            38     }, 
            39     { 
            40       "extra_author": "Pietro Perona", 
            41       "orcid": "" 
            42     }, 
            43     { 
            44       "extra_author": "Deva Ramanan", 
            45       "orcid": "" 
            46     }, 
            47     { 
            48       "extra_author": "Piotr Doll\u00e1r", 28       "extra_author": "Piotr Doll\u00b4ar",
            49       "orcid": "" 
            50     }, 
            51     { 
            52       "extra_author": "C Lawrence Zitnick", 
            53       "orcid": "" 29       "orcid": ""
            54     } 30     }
            55   ], 31   ],
            56   "groups": [ 32   "groups": [
            n 57     { n 
            58       "description": "", 
            59       "display_name": "Benchmarking", 
            60       "id": "87ddb657-b4dd-43ab-91dd-3ea19d62c2c7", 
            61       "image_display_url": "", 
            62       "name": "benchmarking", 
            63       "title": "Benchmarking" 
            64     }, 
            65     { 
            66       "description": "", 
            67       "display_name": "Image Captioning", 
            68       "id": "7a76ce67-2607-4da9-a837-d2017dc33ec6", 
            69       "image_display_url": "", 
            70       "name": "image-captioning", 
            71       "title": "Image Captioning" 
            72     }, 
            73     { 33     {
            74       "description": "", 34       "description": "",
            75       "display_name": "Image Classification", 35       "display_name": "Image Classification",
            76       "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", 36       "id": "18b77292-26aa-4caf-89ed-cbd35fa60474",
            77       "image_display_url": "", 37       "image_display_url": "",
            78       "name": "image-classification", 38       "name": "image-classification",
            79       "title": "Image Classification" 39       "title": "Image Classification"
            80     }, 40     },
            81     { 41     {
            82       "description": "", 42       "description": "",
            83       "display_name": "Image Segmentation", 43       "display_name": "Image Segmentation",
            84       "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", 44       "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04",
            85       "image_display_url": "", 45       "image_display_url": "",
            86       "name": "image-segmentation", 46       "name": "image-segmentation",
            87       "title": "Image Segmentation" 47       "title": "Image Segmentation"
            88     }, 48     },
            89     { 49     {
            90       "description": "", 50       "description": "",
            n 91       "display_name": "Instance Segmentation", n 
            92       "id": "f856527a-3d35-4c73-8c09-bf3f4a3bbb9f", 
            93       "image_display_url": "", 
            94       "name": "instance-segmentation", 
            95       "title": "Instance Segmentation" 
            96     }, 
            97     { 
            98       "description": "", 
            99       "display_name": "Keypoint Detection", 
            100       "id": "67f02444-b264-4177-999f-2fd8d858d8a4", 
            101       "image_display_url": "", 
            102       "name": "keypoint-detection", 
            103       "title": "Keypoint Detection" 
            104     }, 
            105     { 
            106       "description": "", 
            107       "display_name": "Object Detection", 51       "display_name": "Object Detection",
            108       "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", 52       "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20",
            109       "image_display_url": "", 53       "image_display_url": "",
            110       "name": "object-detection", 54       "name": "object-detection",
            111       "title": "Object Detection" 55       "title": "Object Detection"
            112     }, 56     },
            113     { 57     {
            114       "description": "", 58       "description": "",
            n 115       "display_name": "Semantic Segmentation", n 59       "display_name": "Object Segmentation",
            116       "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", 60       "id": "da2dd0b7-d324-469d-92f8-0af74e1a1bae",
            117       "image_display_url": "", 61       "image_display_url": "",
            n 118       "name": "semantic-segmentation", n 62       "name": "object-segmentation",
            119       "title": "Semantic Segmentation" 63       "title": "Object Segmentation"
            120     }, 
            121     { 
            122       "description": "", 
            123       "display_name": "Visual Fact Extraction", 
            124       "id": "de2e3d81-f988-4e9c-b317-14120c9b50e0", 
            125       "image_display_url": "", 
            126       "name": "visual-fact-extraction", 
            127       "title": "Visual Fact Extraction" 
            128     }, 
            129     { 
            130       "description": "", 
            131       "display_name": "Visual Question Answering", 
            132       "id": "e15f82e8-481e-43a8-8a39-d6e0751ace6c", 
            133       "image_display_url": "", 
            134       "name": "visual-question-answering", 
            135       "title": "Visual Question Answering" 
            136     }, 
            137     { 
            138       "description": "", 
            139       "display_name": "Visual Recognition", 
            140       "id": "10de84f4-1539-442d-bfc5-ccee01875f41", 
            141       "image_display_url": "", 
            142       "name": "visual-recognition", 
            143       "title": "Visual Recognition" 
            144     } 64     }
            145   ], 65   ],
            146   "id": "e6bc4c67-2b8f-4884-b1ea-a3c455223145", 66   "id": "e6bc4c67-2b8f-4884-b1ea-a3c455223145",
            147   "isopen": false, 67   "isopen": false,
            148   "landing_page": "https://cocodataset.org/", 68   "landing_page": "https://cocodataset.org/",
            149   "license_title": null, 69   "license_title": null,
            150   "link_orkg": "", 70   "link_orkg": "",
            151   "metadata_created": "2024-12-02T18:05:17.466586", 71   "metadata_created": "2024-12-02T18:05:17.466586",
            n 152   "metadata_modified": "2024-12-02T18:05:17.867314", n 72   "metadata_modified": "2024-12-02T23:48:05.150984",
            153   "name": "microsoft-coco--common-objects-in-context", 73   "name": "microsoft-coco--common-objects-in-context",
            n 154   "notes": "This paper proposes a framework to address the issue of  n 74   "notes": "The COCO dataset is a large-scale benchmark for object 
            155 requiring precise masks for existing FSS tasks, which address  75 detection and segmentation.",
            156 weakly-supervised few-shot segmentation tasks with only category  
            157 information.", 
            158   "num_resources": 1, 76   "num_resources": 0,
            159   "num_tags": 25, 77   "num_tags": 13,
            160   "organization": { 78   "organization": {
            161     "approval_status": "approved", 79     "approval_status": "approved",
            162     "created": "2024-11-25T12:11:38.292601", 80     "created": "2024-11-25T12:11:38.292601",
            163     "description": "", 81     "description": "",
            164     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 82     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            165     "image_url": "", 83     "image_url": "",
            166     "is_organization": true, 84     "is_organization": true,
            167     "name": "no-organization", 85     "name": "no-organization",
            168     "state": "active", 86     "state": "active",
            169     "title": "No Organization", 87     "title": "No Organization",
            170     "type": "organization" 88     "type": "organization"
            171   }, 89   },
            172   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 90   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            173   "private": false, 91   "private": false,
            174   "relationships_as_object": [], 92   "relationships_as_object": [],
            175   "relationships_as_subject": [], 93   "relationships_as_subject": [],
            n 176   "resources": [ n 94   "resources": [],
            177     { 
            178       "cache_last_updated": null, 
            179       "cache_url": null, 
            180       "created": "2024-12-02T18:38:42", 
            181       "data": [ 
            182         "dcterms:title", 
            183         "dcterms:accessRights", 
            184         "dcterms:creator", 
            185         "dcterms:description", 
            186         "dcterms:issued", 
            187         "dcterms:language", 
            188         "dcterms:identifier", 
            189         "dcat:theme", 
            190         "dcterms:type", 
            191         "dcat:keyword", 
            192         "dcat:landingPage", 
            193         "dcterms:hasVersion", 
            194         "dcterms:format", 
            195         "mls:task", 
            196         "datacite:isDescribedBy" 
            197       ], 
            198       "description": "The json representation of the dataset with its  
            199 distributions based on DCAT.", 
            200       "format": "JSON", 
            201       "hash": "", 
            202       "id": "37f8d113-ae38-4465-b59d-a02d1f4f3470", 
            203       "last_modified": "2024-12-02T18:05:17.856404", 
            204       "metadata_modified": "2024-12-02T18:05:17.870042", 
            205       "mimetype": "application/json", 
            206       "mimetype_inner": null, 
            207       "name": "Original Metadata", 
            208       "package_id": "e6bc4c67-2b8f-4884-b1ea-a3c455223145", 
            209       "position": 0, 
            210       "resource_type": null, 
            211       "size": 2163, 
            212       "state": "active", 
            213       "url":  
            214 resource/37f8d113-ae38-4465-b59d-a02d1f4f3470/download/metadata.json", 
            215       "url_type": "upload" 
            216     } 
            217   ], 
            218   "services_used_list": "", 95   "services_used_list": "",
            219   "state": "active", 96   "state": "active",
            220   "tags": [ 97   "tags": [
            221     { 98     {
            222       "display_name": "COCO", 99       "display_name": "COCO",
            223       "id": "892a6596-c332-4778-b0bb-a1d1046c3cb8", 100       "id": "892a6596-c332-4778-b0bb-a1d1046c3cb8",
            224       "name": "COCO", 101       "name": "COCO",
            225       "state": "active", 102       "state": "active",
            226       "vocabulary_id": null 103       "vocabulary_id": null
            227     }, 104     },
            228     { 105     {
            n 229       "display_name": "COCO dataset", n 106       "display_name": "COCO Dataset",
            230       "id": "d3e1175b-c887-4a04-a77b-8ebe58dd7bd6", 107       "id": "501caec4-572d-4f1a-9cc1-1eb3363a8a53",
            231       "name": "COCO dataset", 108       "name": "COCO Dataset",
            232       "state": "active", 109       "state": "active",
            233       "vocabulary_id": null 110       "vocabulary_id": null
            234     }, 111     },
            235     { 112     {
            n 236       "display_name": "Common Objects", n 113       "display_name": "Common Objects in Context",
            237       "id": "1dd1d2d3-a447-4c8e-a75b-518b89caa4d1", 114       "id": "a4750412-fbae-40d2-b964-eb66e6334896",
            238       "name": "Common Objects", 115       "name": "Common Objects in Context",
            239       "state": "active", 116       "state": "active",
            240       "vocabulary_id": null 117       "vocabulary_id": null
            241     }, 118     },
            242     { 119     {
            n 243       "display_name": "Computer Vision", n 
            244       "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", 
            245       "name": "Computer Vision", 
            246       "state": "active", 
            247       "vocabulary_id": null 
            248     }, 
            249     { 
            250       "display_name": "Image Captioning", 
            251       "id": "c708cba4-0a1f-45c9-826f-898857783343", 
            252       "name": "Image Captioning", 
            253       "state": "active", 
            254       "vocabulary_id": null 
            255     }, 
            256     { 
            257       "display_name": "Image Classification", 
            258       "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", 
            259       "name": "Image Classification", 
            260       "state": "active", 
            261       "vocabulary_id": null 
            262     }, 
            263     { 
            264       "display_name": "Image Segmentation", 120       "display_name": "Image segmentation",
            265       "id": "f5603951-aef2-4539-8066-15e72f32271b", 121       "id": "8ab34344-1929-4cd3-a55a-af732b0cf13b",
            266       "name": "Image Segmentation", 122       "name": "Image segmentation",
            267       "state": "active", 
            268       "vocabulary_id": null 
            269     }, 
            270     { 
            271       "display_name": "Instance Segmentation", 
            272       "id": "b58d8dfe-1216-401d-8a2a-ceb09e07a013", 
            273       "name": "Instance Segmentation", 
            274       "state": "active", 
            275       "vocabulary_id": null 
            276     }, 
            277     { 
            278       "display_name": "Keypoint Detection", 
            279       "id": "aa2c073b-d3df-4804-96e5-e732af5ecf8f", 
            280       "name": "Keypoint Detection", 
            281       "state": "active", 
            282       "vocabulary_id": null 
            283     }, 
            284     { 
            285       "display_name": "Large Scale", 
            286       "id": "9d0a7af8-406e-4d7d-b558-ac2b45093bbf", 
            287       "name": "Large Scale", 
            288       "state": "active", 123       "state": "active",
            289       "vocabulary_id": null 124       "vocabulary_id": null
            290     }, 125     },
            291     { 126     {
            292       "display_name": "Object Detection", 127       "display_name": "Object Detection",
            293       "id": "44adc011-570b-46cf-9a65-ab72ca690477", 128       "id": "44adc011-570b-46cf-9a65-ab72ca690477",
            294       "name": "Object Detection", 129       "name": "Object Detection",
            295       "state": "active", 130       "state": "active",
            296       "vocabulary_id": null 131       "vocabulary_id": null
            297     }, 132     },
            298     { 133     {
            n 299       "display_name": "Semantic Segmentation", n 134       "display_name": "Object Segmentation",
            300       "id": "809ad6af-28cd-43bd-974d-055a5c0f2973", 135       "id": "64ca9c05-1123-404f-b679-7768b2ff55d2",
            301       "name": "Semantic Segmentation", 136       "name": "Object Segmentation",
            302       "state": "active", 137       "state": "active",
            303       "vocabulary_id": null 138       "vocabulary_id": null
            304     }, 139     },
            305     { 140     {
            n 306       "display_name": "Visual Fact Extraction", n 141       "display_name": "Object detection",
            307       "id": "40b261ac-d57a-4a84-8608-00011352dc53", 142       "id": "84a57b7d-e522-4fc2-9f65-9aeb121659f1",
            308       "name": "Visual Fact Extraction", 143       "name": "Object detection",
            309       "state": "active", 
            310       "vocabulary_id": null 
            311     }, 
            312     { 
            313       "display_name": "Visual Question Answering", 
            314       "id": "d8aee55f-7e04-411f-8ce5-0794bc0406b0", 
            315       "name": "Visual Question Answering", 
            316       "state": "active", 
            317       "vocabulary_id": null 
            318     }, 
            319     { 
            320       "display_name": "attribute recognition", 
            321       "id": "b4a34c8e-b5f2-45cf-9258-43adb3f3ce57", 
            322       "name": "attribute recognition", 
            323       "state": "active", 
            324       "vocabulary_id": null 
            325     }, 
            326     { 
            327       "display_name": "benchmarking", 
            328       "id": "d9f3d223-10a3-41fb-9231-bed79d8943c0", 
            329       "name": "benchmarking", 
            330       "state": "active", 144       "state": "active",
            331       "vocabulary_id": null 145       "vocabulary_id": null
            332     }, 146     },
            333     { 147     {
            334       "display_name": "coco", 148       "display_name": "coco",
            335       "id": "7eb81be7-b293-4739-8f12-cd4d61804e64", 149       "id": "7eb81be7-b293-4739-8f12-cd4d61804e64",
            336       "name": "coco", 150       "name": "coco",
            337       "state": "active", 151       "state": "active",
            338       "vocabulary_id": null 152       "vocabulary_id": null
            339     }, 153     },
            340     { 154     {
            n 341       "display_name": "image annotation", n 155       "display_name": "common objects",
            342       "id": "6734bcb9-ad78-4289-8816-09b71832ab8e", 156       "id": "15ad5a07-90b4-4c32-b9e2-65a5ee1b86da",
            343       "name": "image annotation", 157       "name": "common objects",
            344       "state": "active", 158       "state": "active",
            345       "vocabulary_id": null 159       "vocabulary_id": null
            346     }, 160     },
            347     { 161     {
            n n 162       "display_name": "context",
            163       "id": "201a528e-8e79-4e2f-bdd4-08d8be4d1a14",
            164       "name": "context",
            165       "state": "active",
            166       "vocabulary_id": null
            167     },
            168     {
            348       "display_name": "image captioning", 169       "display_name": "image annotation",
            349       "id": "f1bbe827-a03a-4280-b9fa-0599ccfc0541", 170       "id": "6734bcb9-ad78-4289-8816-09b71832ab8e",
            350       "name": "image captioning", 171       "name": "image annotation",
            351       "state": "active", 172       "state": "active",
            352       "vocabulary_id": null 173       "vocabulary_id": null
            353     }, 174     },
            354     { 175     {
            355       "display_name": "image classification", 176       "display_name": "image classification",
            356       "id": "34936550-ce1a-41b5-8c58-23081a6c673d", 177       "id": "34936550-ce1a-41b5-8c58-23081a6c673d",
            357       "name": "image classification", 178       "name": "image classification",
            358       "state": "active", 179       "state": "active",
            359       "vocabulary_id": null 180       "vocabulary_id": null
            360     }, 181     },
            361     { 182     {
            n 362       "display_name": "image segmentation", n 
            363       "id": "7eaed78e-c73a-4929-a8c9-60265069f59a", 
            364       "name": "image segmentation", 
            365       "state": "active", 
            366       "vocabulary_id": null 
            367     }, 
            368     { 
            369       "display_name": "instance segmentation", 
            370       "id": "e74e609d-6e81-4b83-b74e-fa3dd8f185f4", 
            371       "name": "instance segmentation", 
            372       "state": "active", 
            373       "vocabulary_id": null 
            374     }, 
            375     { 
            376       "display_name": "object detection", 183       "display_name": "object detection",
            377       "id": "607283c7-9e12-4167-9101-7f8078fb6537", 184       "id": "607283c7-9e12-4167-9101-7f8078fb6537",
            378       "name": "object detection", 185       "name": "object detection",
            379       "state": "active", 186       "state": "active",
            380       "vocabulary_id": null 187       "vocabulary_id": null
            n 381     }, n 
            382     { 
            383       "display_name": "semantic segmentation", 
            384       "id": "f9237911-e9df-4dd5-a9aa-301b6d4969af", 
            385       "name": "semantic segmentation", 
            386       "state": "active", 
            387       "vocabulary_id": null 
            388     }, 
            389     { 
            390       "display_name": "visual recognition", 
            391       "id": "48146459-dac0-435d-93fb-a2a932ab2601", 
            392       "name": "visual recognition", 
            393       "state": "active", 
            394       "vocabulary_id": null 
            395     } 188     }
            396   ], 189   ],
            t 397   "title": "Microsoft COCO: Common Objects in Context", t 190   "title": "Microsoft COCO: Common objects in context",
            398   "type": "dataset", 191   "type": "dataset",
            399   "version": "" 192   "version": ""
            400 } 193 }