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(ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization
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xiaomengyc/SPG
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We train the SPG model on the ILSVRC dataset, and then apply the trained model on video sequences of DAVIS 2016.
We finetune the SPG model on the ILSVRC dataset.
cd scriptssh train_imagenet_full_v5.shDownload the pretrined model at GoogleDrive(https://drive.google.com/open?id=1EwRuqfGASarGidutnYB8rXLSuzYpEoSM (IMAGENET),https://drive.google.com/open?id=1WfrELBlEoq5WO7gKUv-MLTQ8QHY-2wiX (CUB)).
Use the test script to generate attention maps.
cd scriptssh val_imagenet_full.sh
Thanks toJun Hao for providing the wonderful demos!
Please see thesetup_demo.txt for more guidance of setuping up the demos.
If you find this code helpful, please consider to cite this paper:
@inproceedings{zhang2018self, title={Self-produced Guidance for Weakly-supervised Object Localization}, author={Zhang, Xiaolin and Wei, Yunchao and Kang, Guoliang and Yang, Yi and Huang, Thomas}, booktitle={European Conference on Computer Vision}, year={2018}, organization={Springer}}