SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
CVPR, pp. 1143-1152, 2016.
Most convolutional neural networks (CNNs) lack midlevel layers that model semantic parts of objects. This limits CNN-based methods from reaching their full potential in detecting and utilizing small semantic parts in recognition. Introducing such mid-level layers can facilitate the extraction of part-specific features which can be utilize...More
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