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- W2963614929 abstract "Recognising persons in everyday photos presents major challenges (occluded faces, different clothing, locations, etc.) for machine vision. We propose a convnet based person recognition system on which we provide an in-depth analysis of informativeness of different body cues, impact of training data, and the common failure modes of the system. In addition, we discuss the limitations of existing benchmarks and propose more challenging ones. Our method is simple and is built on open source and open data, yet it improves the state of the art results on a large dataset of social media photos (PIPA)." @default.
- W2963614929 created "2019-07-30" @default.
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- W2963614929 date "2015-12-01" @default.
- W2963614929 modified "2023-10-16" @default.
- W2963614929 title "Person Recognition in Personal Photo Collections" @default.
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- W2963614929 doi "https://doi.org/10.1109/iccv.2015.440" @default.
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