PKU-ICST-MIPL / HCL_TMM2023

Introduction

This is the source code of our TMM 2023 paper "HCL: Hierarchical Consistency Learning for Webly Supervised Fine-Grained Recognition". Please cite the following paper if you use our code.

Hongbo Sun, Xiangteng He and Yuxin Peng, "HCL: Hierarchical Consistency Learning for Webly Supervised Fine-Grained Recognition", IEEE Transactions on Multimedia (TMM), 2023.

Dependencies

Python 3.7.15

PyTorch 1.13.0

Torchvision 0.14.0

Data Preparation

Download the webly supervised fine-grained datasets web-bird, web-car and web-aircraft, then uncompress them in the ./data folder.

Usage

Start training by executing the following commands.

• web-bird

  bash train_cub.sh
  

• web-car

  bash train_car.sh
  

• web-aircraft

  bash train_air.sh
  

For any questions, feel free to contact us ([e-mail]).

Welcome to our Laboratory Homepage for more information about our papers, source codes, and datasets.