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 1–10 of 2262 papers

Title	Date	Tasks	Status	Hype
SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation	Jul 17, 2025	Earth ObservationInstance Segmentation	CodeCode Available	0
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping	Jul 15, 2025	Instance Segmentationobject-detection	—Unverified	1
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation	Jul 8, 2025	3D geometry3D Reconstruction	—Unverified	0
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning	Jul 8, 2025	DenoisingGraph Generation	—Unverified	0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation	Jul 8, 2025	Depth EstimationDepth Prediction	—Unverified	0
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
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation	Jul 2, 2025	Instance SegmentationObject	CodeCode Available	0
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding	Jun 28, 2025	3DGSInstance Segmentation	—Unverified	0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment	Jun 17, 2025	Autonomous DrivingInstance Segmentation	—Unverified	0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects	Jun 16, 2025	BenchmarkingInstance Segmentation	—Unverified	0

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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