SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition

CVPR, pp. 1143-1152, 2016.

Cited by: 170|Bibtex|Views70|Links
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments