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

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Showing 1791–1800 of 2262 papers

Title	Date	Tasks	Status
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation	Jul 30, 2019	Instance SegmentationObject	—Unverified
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation	Nov 26, 2020	Instance SegmentationScene Understanding	—Unverified
Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings	Feb 4, 2022	Depth EstimationInstance Segmentation	—Unverified
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes	Oct 1, 2017	DiversityImage Segmentation	—Unverified
The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks	Nov 30, 2021	Deep LearningInstance Segmentation	—Unverified
The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research	Dec 22, 2017	Instance SegmentationObject Tracking	—Unverified
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning	May 13, 2025	Instance SegmentationSemantic Segmentation	—Unverified
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics	Dec 7, 2020	General ClassificationInstance Segmentation	—Unverified
The Runner-up Solution for YouTube-VIS Long Video Challenge 2022	Nov 18, 2022	Contrastive LearningInstance Segmentation	—Unverified
The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge	Dec 2, 2021	Data AugmentationInstance Segmentation	—Unverified

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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