Object Skeleton Detection
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Benchmarks
SK-LARGE
Most implemented
DeepFlux for Skeletons in the Wild
Experimental implementation of skeleton tracking for collision avoidance in collaborative robotics
Adaptive Linear Span Network for Object Skeleton Detection
Papers
Experimental implementation of skeleton tracking for collision avoidance in collaborative robotics
Collaborative robotic manipulators can stop in case of a collision, according to the ISO/TS 15066 and ISO 10218-1 standards. However, in a human-robot collaboration scenario where the robot and the human share the worksp…
Collision AvoidanceHuman DetectionObject Skeleton DetectionAdaptive Linear Span Network for Object Skeleton Detection
Conventional networks for object skeleton detection are usually hand-crafted. Although effective, they require intensive priori knowledge to configure representative features for objects in different scale granularity.In…
Edge DetectionNeural Architecture SearchObjectObject Skeleton DetectionDeepFlux for Skeletons in the Wild
Computing object skeletons in natural images is challenging, owing to large variations in object appearance and scale, and the complexity of handling background clutter. Many recent methods frame object skeleton detectio…
Edge DetectionObjectObject Skeleton DetectionSemantic Segmentation+1Linear Span Network for Object Skeleton Detection
Robust object skeleton detection requires to explore rich representative visual features and effective feature fusion strategies. In this paper, we first re-visit the implementation of HED, the essential principle of whi…
ObjectObject Skeleton DetectionHifi: Hierarchical feature integration for skeleton detection
In natural images, the scales (thickness) of object skeletons may dramatically vary among objects and object parts. Thus, robust skeleton detection requires powerful multi-scale feature integration ability. To address th…
ObjectObject Skeleton DetectionHi-Fi: Hierarchical Feature Integration for Skeleton Detection
In natural images, the scales (thickness) of object skeletons may dramatically vary among objects and object parts, making object skeleton detection a challenging problem. We present a new convolutional neural network (C…
ObjectObject Skeleton Detection