General Multi-label Image Classification with Transformers
Jack Lanchantin, Tianlu Wang, Vicente Ordóñez Román, Yanjun Qi
Conference on Computer Vision and Pattern Recognition (CVPR) 2021
[paper] [poster] [slides]
Python version 3.7 is required and all major packages used and their versions are listed in requirements.txt.
Download COCO data (19G)
wget http://cs.virginia.edu/yanjun/jack/vision/coco.tar.gz
mkdir -p data/
tar -xvf coco.tar.gz -C data/
Train New Model
python main.py --batch_size 16 --lr 0.00001 --optim 'adam' --layers 3 --dataset 'coco' --use_lmt --dataroot data/
Download VOC2007 data (1.7G)
wget http://cs.virginia.edu/yanjun/jack/vision/voc.tar.gz
mkdir -p data/
tar -xvf voc.tar.gz -C data/
Train New Model
python main.py --batch_size 16 --lr 0.00001 --optim 'adam' --layers 3 --dataset 'voc' --use_lmt --grad_ac_step 2 --dataroot data/
@article{lanchantin2020general,
title={General Multi-label Image Classification with Transformers},
author={Lanchantin, Jack and Wang, Tianlu and Ordonez, Vicente and Qi, Yanjun},
journal={arXiv preprint arXiv:2011.14027},
year={2020}
}