Apparel Classification with Style

  title={Apparel Classification with Style},
  author={Lukas Bossard and Matthias Dantone and Christian Leistner and Christian Wengert and Till Quack and Luc Van Gool},
We introduce a complete pipeline for recognizing and classifying people’s clothing in natural scenes. This has several interesting applications, including e-commerce, event and activity recognition, online advertising, etc. The stages of the pipeline combine a number of state-of-the-art building blocks such as upper body detectors, various feature channels and visual attributes. The core of our method consists of a multi-class learner based on a Random Forest that uses strong discriminative… CONTINUE READING
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