Local Feature Semantic Alignment Network for Few-Shot Image Classification

This code implements the Local Feature Semantic Alignment Network (SANet). Our code is based on DN4.

Prerequisites

• Python 3
• Pytorch 0.4 or 1.0
• GPU + CUDA CuDNN
• pillow, torchvision, scipy, numpy

Datasets

Dataset download link:

• miniImageNet
• CUB-200-2011
• Stanford Dog
• Stanford Car Note: You need to manually change the dataset directory.

Contacts

Please feel free to contact us if you have any problems.

Email: ping.li@njupt.edu.cn