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 601–625 of 2262 papers

Title	Date	Tasks	Status	Hype
Interactive Object Segmentation in 3D Point Clouds	Apr 14, 2022	3D Instance SegmentationImage Segmentation	CodeCode Available	1
Interactive Object Segmentation With Inside-Outside Guidance	Jun 1, 2020	Instance SegmentationInteractive Segmentation	CodeCode Available	1
GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation	Sep 21, 2024	Instance SegmentationSegmentation	CodeCode Available	1
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision	May 13, 2021	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available	1
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images	May 30, 2019	Instance SegmentationObject	CodeCode Available	1
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution	Mar 1, 2023	3D Instance SegmentationInstance Segmentation	CodeCode Available	1
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter	Jul 22, 2022	Few-shot Instance SegmentationInstance Segmentation	CodeCode Available	1
Distilling Knowledge via Knowledge Review	Apr 19, 2021	Instance SegmentationKnowledge Distillation	CodeCode Available	1
Deep learning approaches to building rooftop thermal bridge detection from aerial images	Dec 12, 2022	Instance SegmentationObject Detection	CodeCode Available	1
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition	Mar 30, 2021	General Classificationimage-classification	CodeCode Available	1
Language-Assisted 3D Feature Learning for Semantic Scene Understanding	Nov 25, 2022	DescriptiveInstance Segmentation	CodeCode Available	1
FsaNet: Frequency Self-attention for Semantic Segmentation	Nov 28, 2022	Instance SegmentationSemantic Segmentation	CodeCode Available	1
FourierNet: Compact mask representation for instance segmentation using differentiable shape decoders	Feb 7, 2020	DecoderInstance Segmentation	CodeCode Available	1
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking	Dec 6, 2019	6D Pose Estimation using RGBInstance Segmentation	CodeCode Available	1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation	Aug 13, 2020	ClassificationFew-Shot Object Detection	CodeCode Available	1
FreePoint: Unsupervised Point Cloud Instance Segmentation	May 11, 2023	Instance SegmentationSegmentation	CodeCode Available	1
Boundary-assisted Region Proposal Networks for Nucleus Segmentation	Jun 4, 2020	Boundary DetectionInstance Segmentation	CodeCode Available	1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial Images	May 11, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer	Jan 27, 2022	Decision MakingDocument Layout Analysis	CodeCode Available	1
Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation	Sep 11, 2023	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available	1
An Instance Segmentation Dataset of Yeast Cells in Microstructures	Apr 15, 2023	Cell SegmentationImage Segmentation	CodeCode Available	1
Learning Equivariant Segmentation with Instance-Unique Querying	Oct 3, 2022	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Boundary-preserving Mask R-CNN	Jul 17, 2020	Instance SegmentationObject	CodeCode Available	1
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation	Mar 25, 2023	Instance SegmentationRegion Proposal	CodeCode Available	1
Deep High-Resolution Representation Learning for Human Pose Estimation	Feb 25, 2019	2D Human Pose Estimation2D Pose Estimation	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