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 1621–1630 of 2262 papers

Title	Date	Tasks	Status
Reinforcement learning for instance segmentation with high-level priors	May 21, 2021	graph partitioningInstance Segmentation	—Unverified
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing	Jan 1, 2023	Graph Neural NetworkInstance Segmentation	—Unverified
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization	May 8, 2025	Computational EfficiencyInstance Segmentation	—Unverified
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans	Sep 25, 2019	Instance SegmentationSegmentation	—Unverified
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation	Sep 15, 2024	Image SegmentationInstance Segmentation	—Unverified
Rethinking ImageNet Pre-training	Nov 21, 2018	Instance Segmentationobject-detection	—Unverified
Rethinking Implicit Neural Representations for Vision Learners	Nov 22, 2022	image-classificationImage Classification	—Unverified
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds	Sep 27, 2019	Instance SegmentationSemantic Segmentation	—Unverified
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge	Jul 5, 2024	Instance SegmentationOptical Character Recognition (OCR)	—Unverified
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set	Jun 1, 2020	Instance SegmentationMaterial Recognition	—Unverified

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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