Human Part Segmentation
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Benchmarks
Most implemented
Mask R-CNN
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
Sapiens: Foundation for Human Vision Models
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
Self-Correction for Human Parsing
Papers
OpenHuman4D: Open-Vocabulary 4D Human Parsing
Understanding dynamic 3D human representation has become increasingly critical in virtual and extended reality applications. However, existing human part segmentation methods are constrained by reliance on closed-set dat…
Human Part SegmentationVideo Object TrackingHuman ParsingSapiens: Foundation for Human Vision Models
We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-r…
2D Human Pose Estimation2D Pose EstimationDepth EstimationHuman Part Segmentation+3Hulk: A Universal Knowledge Translator for Human-Centric Tasks
Human-centric perception tasks, e.g., pedestrian detection, skeleton-based action recognition, and pose estimation, have wide industrial applications, such as metaverse and sports analysis. There is a recent surge to dev…
3D Human Pose EstimationAction RecognitionHuman Mesh RecoveryHuman Part Segmentation+7UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestrian detection, person re-identification, etc.) play a key role in industrial applications of visual models. While specific human-centric tasks have …
2D Pose EstimationAttributeHuman ParsingHuman Part Segmentation+7Parsing Objects at a Finer Granularity: A Survey
Fine-grained visual parsing, including fine-grained part segmentation and fine-grained object recognition, has attracted considerable critical attention due to its importance in many real-world applications, e.g., agricu…
Fine-Grained Visual RecognitionHuman Part SegmentationObject RecognitionSegmentation+1KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
Human densepose estimation, aiming at establishing dense correspondences between 2D pixels of human body and 3D human body template, is a key technique in enabling machines to have an understanding of people in images. I…
Human Part SegmentationTransfer Learning