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 21–30 of 2262 papers

Title	Date	Tasks	Status	Hype
Nuclei instance segmentation and classification in histopathology images with StarDist	Mar 3, 2022	ClassificationInstance Segmentation	CodeCode Available	3
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining	Mar 20, 2024	Aerial Scene ClassificationBuilding change detection for remote sensing images	CodeCode Available	3
OneFormer: One Transformer to Rule Universal Image Segmentation	Nov 10, 2022	Instance SegmentationPanoptic Segmentation	CodeCode Available	3
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation	Aug 28, 2024	Cell SegmentationGPU	CodeCode Available	3
General Object Foundation Model for Images and Videos at Scale	Dec 14, 2023	Instance SegmentationLong-tail Video Object Segmentation	CodeCode Available	3
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Jan 26, 2023	Instance Segmentationobject-detection	CodeCode Available	3
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation	Jun 4, 2024	2D Object Detection3D Instance Segmentation	CodeCode Available	3
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks	Aug 15, 2024	image-classificationImage Classification	CodeCode Available	3
No time to train! Training-Free Reference-Based Instance Segmentation	Jul 3, 2025	Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection	CodeCode Available	3
Generalized Decoding for Pixel, Image, and Language	Dec 21, 2022	DecoderImage Segmentation	CodeCode Available	3

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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