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Microsoft COCO (MS-COCO) Dataset
A large-scale dataset for object detection and instance segmentation. -
OpenImages dataset V6
The OpenImages dataset V6 contains images with annotations for object detection and instance segmentation tasks. -
KINS Dataset
A dataset for amodal instance segmentation, consisting of images with variable numbers of object instances. -
Microsoft COCO: common objects in images
Microsoft COCO: common objects in images. -
COCO object detection and instance segmentation, ADE20K semantic segmentation
The dataset used in the paper is the COCO object detection and instance segmentation dataset, and the ADE20K semantic segmentation dataset. -
Segment Anything (SA-1B)
SA-1B is a large-scale benchmark for instance segmentation and object detection. -
Large Vocabulary Instance Segmentation Dataset (LVIS)
LVIS is a large-scale benchmark for instance segmentation and object detection. -
COCO 2017 Dataset
The COCO 2017 Dataset is a large-scale benchmark dataset for object detection, semantic segmentation, and instance segmentation. -
Inter-Instance Similarity Modeling for Contrastive Learning
The existing contrastive learning methods widely adopt one-hot instance discrimination as pretext task for self-supervised learning, which inevitably neglects rich... -
MS COCO 2017
The dataset used in this paper is a collection of frames for video coding, with different Quantisation Parameters (QPs) and frame types. -
Mask R-CNN
The dataset used in this paper for training and testing the KAISA optimizer framework. -
ImageNet-1K and MS COCO
The dataset used in the paper is ImageNet-1K and MS COCO. -
COCO test-dev
The COCO test-dev dataset is used for instance segmentation. It contains 20k test-dev images. -
MS COCO 2014
Vehicle detection in real-time is a challenging and important task. The existing real-time vehicle detection lacks accuracy and speed. Real-time systems must detect and locate... -
Pascal VOC
Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...
