Unsupervised learning of object landmarks by factorized spatial embeddings

Unsupervised learning of object landmarks by factorized spatial embeddings

Learning automatically the structure of object categories remains an important open problem in computer vision. In this paper, we propose a novel unsupervised approach that can discover and learn landmarks in object categories, thus characterizing their structure. Our approach is based on factorizin...

書誌詳細
主要な著者:	Thewlis, J, Bilen, H, Vedaldi, A
フォーマット:	Conference item
出版事項:	IEEE 2017

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