CGVC

Code release for Cross-Layer Feature based Multi-Granularity Visual Classification (VCIP 2022)

Changelog

• 2022/09/03 upload the code.

Requirements

• python 3.6
• PyTorch 1.2.0
• torchvision

Data

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

• python Birds.py or python Airs.py or python Cars.py

Contact

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

• chenjunhan@bupt.edu.cn
• mazhanyu@bupt.edu.cn