A collaborative gated attention network for fine-grained visual classification
Authors:
- Qiangxi ZhuQZQiangxi Zhu
- Wenlan KuangWKWenlan Kuang
- Zhixin LiZLZhixin Li
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Guangxi Province (2019GXNSFDA245018)
- National Natural Science Foundation of China (61966004, 62276073)
This publication has 40 references indexed in Scilit:
- Learning to Navigate for Fine-Grained Classification2018
- Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition2017
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017
- Low-Rank Bilinear Pooling for Fine-Grained Classification2017
- Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition2017
- Pyramid Scene Parsing Network2017
- Kernel Pooling for Convolutional Neural Networks2017
- Deep Residual Learning for Image Recognition2016
- Bilinear CNN Models for Fine-Grained Visual Recognition2015
- 3D Object Representations for Fine-Grained Categorization2013