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 26–50 of 2262 papers

Title	Date	Tasks	Status	Hype
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation	Jun 4, 2024	2D Object Detection3D Instance Segmentation	CodeCode Available	3
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition	Mar 26, 2024	Image 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
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions	Mar 13, 2024	Instance SegmentationObject Detection	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
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment	Dec 1, 2023	Contrastive LearningFew-Shot Learning	CodeCode Available	3
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation	Aug 28, 2023	Instance SegmentationOptical Flow Estimation	CodeCode Available	3
A Simple Framework for Open-Vocabulary Segmentation and Detection	Mar 14, 2023	Instance SegmentationPanoptic Segmentation	CodeCode Available	3
Universal Instance Perception as Object Discovery and Retrieval	Mar 12, 2023	Described Object DetectionGeneralized Referring Expression Comprehension	CodeCode Available	3
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Jan 26, 2023	Instance Segmentationobject-detection	CodeCode Available	3
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling	Jan 9, 2023	2D Object DetectionContrastive Learning	CodeCode Available	3
Generalized Decoding for Pixel, Image, and Language	Dec 21, 2022	DecoderImage Segmentation	CodeCode Available	3
DETRs with Collaborative Hybrid Assignments Training	Nov 22, 2022	DecoderInstance Segmentation	CodeCode Available	3
OneFormer: One Transformer to Rule Universal Image Segmentation	Nov 10, 2022	Instance SegmentationPanoptic Segmentation	CodeCode Available	3
Vision Transformers: From Semantic Segmentation to Dense Prediction	Jul 19, 2022	image-classificationImage Classification	CodeCode Available	3
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	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