Fine-Grained Classification via Hierarchical Bilinear Pooling With Aggregated Slack Mask

Extracting discriminative fine-grained features is essential for fine-grained image recognition tasks. Many researchers utilize expensive human annotations to learn discriminative part models, which may be impossible for real-world applications. Recently, bilinear pooling has been frequently adopted...

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Bibliographic Details
Main Authors: Min Tan, Guijun Wang, Jian Zhou, Zhiyou Peng, Meilian Zheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8805063/