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Key Patch Proposer: Key Patches Contain Rich Information

2024-02-18Code Available0· sign in to hype

Jing Xu, Beiwen Tian, Hao Zhao

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Abstract

In this paper, we introduce a novel algorithm named Key Patch Proposer (KPP) designed to select key patches in an image without additional training. Our experiments showcase KPP's robust capacity to capture semantic information by both reconstruction and classification tasks. The efficacy of KPP suggests its potential application in active learning for semantic segmentation. Our source code is publicly available at https://github.com/CA-TT-AC/key-patch-proposer.

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