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Human Instance Segmentation

Instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

Papers

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Showing 11–16 of 16 papers

Title	Date	Tasks	Status	Hype	Score
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation	Dec 12, 2022	Human Instance SegmentationInstance Segmentation	—Unverified	0	0
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector	Mar 31, 2022	Human Instance SegmentationInstance Segmentation	—Unverified	0	0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder	Apr 15, 2022	Action RecognitionAction Understanding	—Unverified	0	0
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation	Nov 17, 2020	Human DetectionHuman Instance Segmentation	—Unverified	0	0
Object-Centric Multi-Task Learning for Human Instances	Mar 13, 2023	Human DetectionHuman Instance Segmentation	—Unverified	0	0
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation	Jan 7, 2020	Human Instance SegmentationInstance Segmentation	—Unverified	0	0

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	BBox-Mask-Pose 2x	AP	32.4	—	Unverified
2	Crowd-SAM (ViT-L)	AP	31.4	—	Unverified
3	HQNet (ResNet-50)	AP	31.1	—	Unverified
4	BlendMask + CIS	AP	29.8	—	Unverified
5	Mask2Former + Occlusion C&P	AP	28.3	—	Unverified
6	CondInst + CIS	AP	28.1	—	Unverified
7	Mask2Former	AP	27.8	—	Unverified
8	HCQNet	AP	27.3	—	Unverified
9	ExPoSeg	AP	26.8	—	Unverified
10	RTMDet-ins-l	AP	26.5	—	Unverified