object-detection
Object Skeleton Detection
3260 papers • 126 benchmarks • 313 datasets
Object skeleton detection is the task of detecting the skeleton of an object in an image. ( Image credit: DeepFlux for Skeletons in the Wild )
(Image credit: Papersgraph)
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These leaderboards are used to track progress in object-detection
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SK-LARGE
SK-LARGE
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iUse these libraries to find object-detection models and implementations
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Most implemented papers
DeepFlux for Skeletons in the Wild
X. Bai, Yukang Wang, Yongchao Xu, Stavros Tsogkas, Sven J. Dickinson, Kaleem Siddiqi•Thu Nov 29 2018
This article training a CNN to predict a two-dimensional vector field, which maps each scene point to a candidate skeleton pixel, in the spirit of flux-based skeletonization algorithms, achieves consistently superior performance over state-of-the-art methods.
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