Skip to content
/ ACHNet Public

Repository of Attention-guided Contrastive Hashing for Long-tailed Image Retrieval (accepted to IJCAI2022)

License

Notifications You must be signed in to change notification settings

KUXN98/ACHNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ACHNet

Repository of Attention-guided Contrastive Hashing for Long-tailed Image Retrieval (accepted to IJCAI2022)
paper link: https://www.ijcai.org/proceedings/2022/0142.pdf

Datasets Download

link:https://pan.baidu.com/s/11R7Ncm4aowdKC9zh5tPe1Q
password:saf3
For the purpose of fair comparison, we use the dataset from Long-tailed Hashing, both imagenet-100 and cifar-100 can be downloaded from the above link.

Model Training.

  • First you should create an empty 'checkpoints' directory.
  • Set hyper-parameters in arg.py, use python main.py to train the model

Requirements

Python 3.7.12
Pytorch 1.8.0

About

Repository of Attention-guided Contrastive Hashing for Long-tailed Image Retrieval (accepted to IJCAI2022)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages