This repository contains code for:
'Bi-directional Relationship Inferring Network for Referring Image Segmentation', CVPR 2020.
'Bidirectional Relationship Inferring Network for Referring Image Localization and Segmentation', TNNLS 2021
If you find this work useful in your research, please consider citing:
@inproceedings{hu2020bi,
title={Bi-directional relationship inferring network for referring image segmentation},
author={Hu, Zhiwei and Feng, Guang and Sun, Jiayu and Zhang, Lihe and Lu, Huchuan},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={4424--4433},
year={2020}
}
@article{feng2021bidirectional,
title={Bidirectional Relationship Inferring Network for Referring Image Localization and Segmentation},
author={Feng, Guang and Hu, Zhiwei and Zhang, Lihe and Sun, Jiayu and Lu, Huchuan},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2021},
publisher={IEEE}
}
The paper can be found in paper.
- Python 3.5
- Tensorflow 1.8
- PyDenseCRF
Partial coda and data preparation are borrowed from TF-phrasecut-public. Please follow their instructions to make your setup ready. DeepLab backbone network is based on TF-deeplab as well as the pretrained model for initializing weights of our model.
python main_cmsa.py -m train -w deeplab -d Gref -t train -g 0 -i 800000
python main_cmsa.py -m test -w deeplab -d Gref -t val -g 0 -i 800000
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