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 1181–1190 of 2262 papers

Title	Date	Tasks	Status
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation	Apr 20, 2023	Instance SegmentationPanoptic Segmentation	—Unverified
Entropy Bootstrapping for Weakly Supervised Nuclei Detection	Nov 20, 2024	Instance SegmentationSegmentation	—Unverified
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines	Jun 1, 2018	Instance SegmentationPose Estimation	—Unverified
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding	Oct 22, 2024	Contrastive LearningInductive Bias	—Unverified
Equalization Loss for Large Vocabulary Instance Segmentation	Nov 12, 2019	Instance Segmentationobject-detection	—Unverified
ETHSeg: An Amodel Instance Segmentation Network and a Real-World Dataset for X-Ray Waste Inspection	Jan 1, 2022	Instance SegmentationSegmentation	—Unverified
Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section	Nov 10, 2021	Deep LearningInstance Segmentation	—Unverified
Evaluation of Video Coding for Machines without Ground Truth	May 13, 2022	Instance Segmentationobject-detection	—Unverified
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks	Oct 24, 2024	Instance SegmentationSegmentation	—Unverified
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey	Jan 13, 2020	Image SegmentationInstance Segmentation	—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