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 1826–1850 of 2262 papers

Title	Date	Tasks	Status
Single-shot Path Integrated Panoptic Segmentation	Dec 3, 2020	Instance SegmentationPanoptic Segmentation	—Unverified
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans	Dec 2, 2020	ClassificationCOVID-19 Diagnosis	CodeCode Available
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation	Dec 2, 2020	Amodal Instance SegmentationInstance Segmentation	—Unverified
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction	Nov 27, 2020	3D ReconstructionInstance Segmentation	—Unverified
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation	Nov 26, 2020	Instance SegmentationScene Understanding	—Unverified
CellSegmenter: unsupervised representation learning and instance segmentation of modular images	Nov 25, 2020	Instance SegmentationRepresentation Learning	—Unverified
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation	Nov 25, 2020	Image ClassificationInstance Segmentation	—Unverified
3D Registration for Self-Occluded Objects in Context	Nov 23, 2020	Instance SegmentationPoint Cloud Registration	—Unverified
Scaling Wide Residual Networks for Panoptic Segmentation	Nov 23, 2020	Instance SegmentationPanoptic Segmentation	—Unverified
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins	Nov 20, 2020	Cell SegmentationDecision Making Under Uncertainty	CodeCode Available
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions	Nov 19, 2020	Instance SegmentationMulti-Task Learning	—Unverified
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation	Nov 17, 2020	Human DetectionHuman Instance Segmentation	—Unverified
Learning Regional Purity for Instance Segmentation on 3D Point Clouds	Nov 3, 2020	3D Instance Segmentation3D Semantic Segmentation	CodeCode Available
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis	Nov 2, 2020	Generative Adversarial NetworkImage Segmentation	—Unverified
Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds	Oct 28, 2020	ClusteringInstance Segmentation	—Unverified
2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020	Oct 21, 2020	Instance SegmentationObject	—Unverified
AutoBSS: An Efficient Algorithm for Block Stacking Style Search	Oct 20, 2020	AutoMLBayesian Optimization	—Unverified
Multi-Stage Fusion for One-Click Segmentation	Oct 19, 2020	Instance SegmentationInteractive Segmentation	—Unverified
Localized Interactive Instance Segmentation	Oct 18, 2020	Instance SegmentationInteractive Segmentation	—Unverified
Learning Panoptic Segmentation from Instance Contours	Oct 16, 2020	ClusteringInstance Segmentation	CodeCode Available
A Closed-Loop System for Improving Annotation Quality and Efficiency	Oct 15, 2020	Autonomous DrivingInstance Segmentation	—Unverified
Semantic Flow-guided Motion Removal Method for Robust Mapping	Oct 14, 2020	Instance SegmentationOptical Flow Estimation	—Unverified
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation	Oct 6, 2020	Depth EstimationInstance Segmentation	—Unverified
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track	Oct 6, 2020	Instance Segmentationobject-detection	—Unverified
Conditional Negative Sampling for Contrastive Learning of Visual Representations	Oct 5, 2020	Contrastive LearningInstance Segmentation	CodeCode Available

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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