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 41–50 of 2262 papers

Title	Date	Tasks	Status	Hype
Vision Transformer Adapter for Dense Predictions	May 17, 2022	Instance SegmentationObject Detection	CodeCode Available	3
Nuclei instance segmentation and classification in histopathology images with StarDist	Mar 3, 2022	ClassificationInstance Segmentation	CodeCode Available	3
XCiT: Cross-Covariance Image Transformers	Jun 17, 2021	image-classificationImage Classification	CodeCode Available	3
ResNeSt: Split-Attention Networks	Apr 19, 2020	image-classificationImage Classification	CodeCode Available	3
The Missing Point in Vision Transformers for Universal Image Segmentation	May 26, 2025	Image SegmentationInstance Segmentation	CodeCode Available	2
P2Object: Single Point Supervised Object Detection and Instance Segmentation	Apr 10, 2025	Instance SegmentationMultiple Instance Learning	CodeCode Available	2
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery	Apr 3, 2025	Field Boundary DelineationInstance Segmentation	CodeCode Available	2
Scene-Centric Unsupervised Panoptic Segmentation	Apr 2, 2025	Instance SegmentationPanoptic Segmentation	CodeCode Available	2
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting	Mar 18, 2025	Instance SegmentationObject	CodeCode Available	2
DAMamba: Vision State Space Model with Dynamic Adaptive Scan	Feb 18, 2025	image-classificationImage Classification	CodeCode Available	2

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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	GLEE-Pro	mask AP	54.2	—	Unverified
9	ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)	mask AP	54.2	—	Unverified
10	SwinV2-G (HTC++)	mask AP	53.7	—	Unverified