Instance Segmentation

Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 871–880 of 2262 papers

Title	Date	Tasks	Status	Hype
Category-level Shape Estimation for Densely Cluttered Objects	Feb 23, 2023	Instance SegmentationObject	—Unverified	0
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation	Feb 22, 2023	DecoderImage Segmentation	CodeCode Available	1
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation	Feb 20, 2023	Instance SegmentationSemantic Segmentation	—Unverified	0
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering	Feb 19, 2023	Image SegmentationInstance Segmentation	—Unverified	0
Offline-to-Online Knowledge Distillation for Video Instance Segmentation	Feb 15, 2023	Data AugmentationInstance Segmentation	—Unverified	0
CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction	Feb 13, 2023	DecoderInstance Segmentation	CodeCode Available	1
PUPS: Point Cloud Unified Panoptic Segmentation	Feb 13, 2023	DecoderInstance Segmentation	—Unverified	0
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel	Feb 8, 2023	Instance SegmentationSegmentation	—Unverified	0
Cross-Layer Retrospective Retrieving via Layer Attention	Feb 8, 2023	image-classificationImage Classification	CodeCode Available	1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction	Feb 7, 2023	Instance SegmentationMulti-Object Tracking	CodeCode Available	1

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All datasets COCO test-dev COCO minival LVIS v1.0 val Cityscapes val ADE20K val ARMBench Occluded COCO OoDIS Separated COCO TBBR BDD100K val COCO val (panoptic labels)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	InternImage-H	AP50	80.8	—	Unverified
2	ResNeSt-200 (multi-scale)	AP50	70.2	—	Unverified
3	CenterMask + VoVNetV2-99 (multi-scale)	AP50	66.2	—	Unverified
4	CenterMask + VoVNetV2-57 (single-scale)	AP50	60.8	—	Unverified
5	Co-DETR	mask AP	57.1	—	Unverified
6	CBNetV2 (EVA02, single-scale)	mask AP	56.1	—	Unverified
7	ISDA (ResNet-50)	APL	55.7	—	Unverified
8	EVA	mask AP	55.5	—	Unverified
9	FD-SwinV2-G	mask AP	55.4	—	Unverified
10	Mask Frozen-DETR	mask AP	55.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InternImage-B	GFLOPs	501	—	Unverified
2	Co-DETR	mask AP	56.6	—	Unverified
3	ViT-CoMer-L (Mask RCNN, DINOv2)	mask AP	55.9	—	Unverified
4	InternImage-H	mask AP	55.4	—	Unverified
5	EVA	mask AP	55	—	Unverified
6	Mask Frozen-DETR	mask AP	54.9	—	Unverified
7	MasK DINO (SwinL, multi-scale)	mask AP	54.5	—	Unverified
8	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
9	GLEE-Pro	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified