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 476–500 of 2262 papers

Title	Date	Tasks	Status	Hype
MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos	Jun 30, 2020	Instance SegmentationRegion Proposal	CodeCode Available	1
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells	Feb 21, 2018	Instance SegmentationSemantic Segmentation	CodeCode Available	1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features	Oct 14, 2020	COVID-19 DiagnosisCOVID-19 Image Segmentation	CodeCode Available	1
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network	May 30, 2021	image-classificationImage Classification	CodeCode Available	1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection	Dec 15, 2020	Instance SegmentationLong-tailed Object Detection	CodeCode Available	1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding	Mar 29, 2021	image-classificationImage Classification	CodeCode Available	1
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention	Jul 31, 2021	image-classificationImage Classification	CodeCode Available	1
End-to-End Referring Video Object Segmentation with Multimodal Transformers	Nov 29, 2021	Inductive BiasInstance Segmentation	CodeCode Available	1
End-to-End Human Instance Matting	Mar 3, 2024	Image MattingInstance Segmentation	CodeCode Available	1
Crossover Learning for Fast Online Video Instance Segmentation	Apr 13, 2021	Instance SegmentationSemantic Segmentation	CodeCode Available	1
Cross-View Regularization for Domain Adaptive Panoptic Segmentation	Mar 3, 2021	Domain AdaptationInstance Segmentation	CodeCode Available	1
End-to-End Semi-Supervised Object Detection with Soft Teacher	Jun 16, 2021	Instance Segmentationobject-detection	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
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images	Aug 3, 2023	Instance SegmentationSegmentation	CodeCode Available	1
CTVIS: Consistent Training for Online Video Instance Segmentation	Jul 24, 2023	Instance SegmentationSemantic Segmentation	CodeCode Available	1
A Close Look at Spatial Modeling: From Attention to Convolution	Dec 23, 2022	Instance Segmentationobject-detection	CodeCode Available	1
Occluded Video Instance Segmentation: A Benchmark	Feb 2, 2021	Instance SegmentationSegmentation	CodeCode Available	1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation	Dec 15, 2022	Instance SegmentationObject	CodeCode Available	1
End-to-End Video Instance Segmentation with Transformers	Nov 30, 2020	Instance SegmentationSegmentation	CodeCode Available	1
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification	Nov 30, 2022	2D Human Pose EstimationClassification	CodeCode Available	1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds	Mar 11, 2020	Instance SegmentationMulti-Task Learning	CodeCode Available	1
CycleMLP: A MLP-like Architecture for Dense Prediction	Jul 21, 2021	Image ClassificationInstance Segmentation	CodeCode Available	1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data	Mar 8, 2023	Autonomous NavigationClustering	CodeCode Available	1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation	Jun 5, 2023	Instance SegmentationMulti-Task Learning	CodeCode Available	1
ELSA: Enhanced Local Self-Attention for Vision Transformer	Dec 23, 2021	Image ClassificationInstance Segmentation	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