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 201–225 of 2262 papers

Title	Date	Tasks	Status	Hype
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation	May 20, 2025	Few-Shot Object DetectionInstance Segmentation	CodeCode Available	1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation	Jul 21, 2020	Instance SegmentationKnowledge Distillation	CodeCode Available	1
Deep High-Resolution Representation Learning for Human Pose Estimation	Feb 25, 2019	2D Human Pose Estimation2D Pose Estimation	CodeCode Available	1
Deep Variational Instance Segmentation	Jul 22, 2020	Instance SegmentationSegmentation	CodeCode Available	1
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation	Apr 21, 2021	Instance SegmentationObject Detection	CodeCode Available	1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation	Mar 17, 2020	General ClassificationInstance Segmentation	CodeCode Available	1
A Survey of Self-Supervised and Few-Shot Object Detection	Oct 27, 2021	Few-Shot Object DetectionInstance Segmentation	CodeCode Available	1
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities	May 30, 2019	DiversityInductive Bias	CodeCode Available	1
Dense Contrastive Learning for Self-Supervised Visual Pre-Training	Nov 18, 2020	Contrastive Learningimage-classification	CodeCode Available	1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Oct 30, 2020	Instance SegmentationPanoptic Segmentation	CodeCode Available	1
BARS: A Benchmark for Airport Runway Segmentation	Oct 24, 2022	Instance SegmentationSegmentation	CodeCode Available	1
D2Det: Towards High Quality Object Detection and Instance Segmentation	Jun 1, 2020	Instance SegmentationObject	CodeCode Available	1
Deep learning approaches to building rooftop thermal bridge detection from aerial images	Dec 12, 2022	Instance SegmentationObject Detection	CodeCode Available	1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting	Dec 2, 2021	Image-text matchingInstance Segmentation	CodeCode Available	1
Distilling Knowledge via Knowledge Review	Apr 19, 2021	Instance SegmentationKnowledge Distillation	CodeCode Available	1
A Tri-Layer Plugin to Improve Occluded Detection	Oct 18, 2022	Instance SegmentationObject	CodeCode Available	1
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction	Jun 1, 2022	image-classificationImage Classification	CodeCode Available	1
DFormer: Diffusion-guided Transformer for Universal Image Segmentation	Jun 6, 2023	DecoderDenoising	CodeCode Available	1
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection	Feb 17, 2021	ImputationInstance Segmentation	CodeCode Available	1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation	Dec 11, 2023	Instance SegmentationPosition	CodeCode Available	1
Crossover Learning for Fast Online Video Instance Segmentation	Apr 13, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Attention-guided Context Feature Pyramid Network for Object Detection	May 23, 2020	Instance SegmentationObject	CodeCode Available	1
Cross-Layer Retrospective Retrieving via Layer Attention	Feb 8, 2023	image-classificationImage Classification	CodeCode Available	1
Cross-View Regularization for Domain Adaptive Panoptic Segmentation	Mar 3, 2021	Domain AdaptationInstance Segmentation	CodeCode Available	1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images	Jan 2, 2021	Instance SegmentationSegmentation	CodeCode Available	1

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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