Changes
On December 16, 2024 at 7:14:59 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval -
Changed value of field
doi_date_published
to2024-12-16
in LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval -
Added resource Original Metadata to LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Pu Zhao", | 15 | "extra_author": "Pu Zhao", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Can Xu", | 19 | "extra_author": "Can Xu", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Xiubo Geng", | 23 | "extra_author": "Xiubo Geng", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Tao Shen", | 27 | "extra_author": "Tao Shen", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Chongyang Tao", | 31 | "extra_author": "Chongyang Tao", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
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36 | "orcid": "" | 36 | "orcid": "" | ||
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65 | ked-language-image-pre-training-for-large-scale-image-text-retrieval", | 65 | ked-language-image-pre-training-for-large-scale-image-text-retrieval", | ||
66 | "notes": "Image-text retrieval (ITR) is a task to retrieve the | 66 | "notes": "Image-text retrieval (ITR) is a task to retrieve the | ||
67 | relevant images/texts, given the query from another modality. The | 67 | relevant images/texts, given the query from another modality. The | ||
68 | conventional dense retrieval paradigm relies on encoding images and | 68 | conventional dense retrieval paradigm relies on encoding images and | ||
69 | texts into dense representations using dual-stream encoders, however, | 69 | texts into dense representations using dual-stream encoders, however, | ||
70 | it faces challenges with low retrieval speed in large-scale retrieval | 70 | it faces challenges with low retrieval speed in large-scale retrieval | ||
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116 | "title": "LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training | 157 | "title": "LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training | ||
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