Corpus ID: 13441936

Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification

@inproceedings{He2017WeaklySL,
  title={Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification},
  author={Xiangteng He and Y. Peng},
  booktitle={AAAI},
  year={2017}
}
  • Xiangteng He, Y. Peng
  • Published in AAAI 2017
  • Computer Science
  • Fine-grained image classification is challenging due to the large intra-class variance and small inter-class variance, aiming at recognizing hundreds of sub-categories belonging to the same basic-level category. Since two different sub-categories is distinguished only by the subtle differences in some specific parts, semantic part localization is crucial for fine-grained image classification. Most previous works improve the accuracy by looking for the semantic parts, but rely heavily upon the… CONTINUE READING
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