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 1121–1130 of 2262 papers

Title	Date	Tasks	Status	Hype
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling	Jul 4, 2022	ClassificationDomain Adaptation	—Unverified	0
Beyond mAP: Towards better evaluation of instance segmentation	Jul 4, 2022	Instance SegmentationSegmentation	—Unverified	0
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation	Jun 30, 2022	Data AugmentationInstance Segmentation	CodeCode Available	0
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration	Jun 30, 2022	Domain AdaptationInstance Segmentation	—Unverified	0
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR	Jun 30, 2022	Graph MatchingInstance Segmentation	—Unverified	0
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network	Jun 28, 2022	General Classificationimage-classification	CodeCode Available	1
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage	Jun 27, 2022	Instance SegmentationPlant Phenotyping	—Unverified	0
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot	Jun 27, 2022	Instance SegmentationSegmentation	CodeCode Available	1
Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation	Jun 22, 2022	Instance SegmentationSegmentation	—Unverified	0
Broken News: Making Newspapers Accessible to Print-Impaired	Jun 21, 2022	Instance SegmentationOptical Character Recognition (OCR)	—Unverified	0

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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