Two-Level Progressive Attention Convolutional Network for Fine-Grained Image Recognition
The learning of discriminative features is the key for fine-grained image recognition. To better extract effective features and improve the accuracy of fine-grained image recognition, we propose a two-level progressive attention convolutional network (TPA-CNN) for fine-grained image recognition. The...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9107248/ |