Adaptive-Multi-Resolution-Feature-Fusion

Code release for “[Adaptive Multi-Resolution Feature Fusion for Fine-Grained Visual Classification]"

Changelog

• 2024/06/21 upload the code.

Requirements

• python 3.8
• PyTorch 1.13.1+cu117
• torchvision 0.14.1+cu117
• learn2learn 0.2.0

Data

• Download datasets
• Extract them to data/cars/, data/birds/ and data/airs/, respectively.
• Split the dataset into train and test folder, the index of each class should follow the Birds.xls, Air.xls, and Cars.xls

• e.g., CUB-200-2011 dataset

  -/birds/train
	         └─── 001.Black_footed_Albatross
	                   └─── Black_Footed_Albatross_0001_796111.jpg
	                   └─── ...
	         └─── 002.Laysan_Albatross
	         └─── 003.Sooty_Albatross
	         └─── ...
   -/birds/test	
             └─── ...         

Training

• CUDA_VISIBLE_DEVICES=X python main.py

Contact

Thanks for your attention! If you have any suggestion or question, you can leave a message here or contact us directly:

• yangyuqi@bupt.edu.cn
• mazhanyu@bupt.edu.cn