most citedAn Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 15 cited

An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection

Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat +3

Visual data can be understood at different levels of granularity, where global features correspond to semantic-level information and local features correspond to texture patterns.…