Learning Features and Parts for Fine-Grained RecognitionEI

    Cited by: 101|Bibtex|42|

    ICPR, pp. 26-33, 2014.

    Abstract:

    This paper addresses the problem of fine-grained recognition: recognizing subordinate categories such as bird species, car models, or dog breeds. We focus on two major challenges: learning expressive appearance descriptors and localizing discriminative parts. To this end, we propose an object representation that detects important parts an...More
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