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 71–80 of 2262 papers

Title	Date	Tasks	Status	Hype
Prompting Vision-Language Model for Nuclei Instance Segmentation and Classification	Mar 27, 2025	Cell SegmentationContrastive Learning	CodeCode Available	0
Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery	Mar 26, 2025	Instance SegmentationSemantic Segmentation	—Unverified	0
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines	Mar 25, 2025	Feature ImportanceImage Compression	—Unverified	0
HiRes-FusedMIM: A High-Resolution RGB-DSM Pre-trained Model for Building-Level Remote Sensing Applications	Mar 24, 2025	Instance SegmentationSelf-Supervised Learning	—Unverified	0
EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery Videos	Mar 24, 2025	Instance SegmentationSegmentation	CodeCode Available	0
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation	Mar 22, 2025	Instance SegmentationSemantic Segmentation	—Unverified	0
Should we pre-train a decoder in contrastive learning for dense prediction tasks?	Mar 21, 2025	Contrastive LearningDecoder	—Unverified	0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments	Mar 19, 2025	Autonomous DrivingComputational Efficiency	—Unverified	0
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking	Mar 18, 2025	DescriptiveInstance Segmentation	CodeCode Available	0
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting	Mar 18, 2025	Instance SegmentationObject	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	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