Part-based R-CNNs for Fine-grained Category Detection

  title={Part-based R-CNNs for Fine-grained Category Detection},
  author={Ning Zhang and Jeff Donahue and Ross B. Girshick and Trevor Darrell},
Semantic part localization can facilitate fine-grained categorization by explicitly isolating subtle appearance differences associated with specific object parts. Methods for pose-normalized representations have been proposed, but generally presume bounding box annotations at test time due to the difficulty of object detection. We propose a model for fine-grained categorization that overcomes these limitations by leveraging deep convolutional features computed on bottom-up region proposals. Our… CONTINUE READING
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