Angular Gap
This is the code necessary to run experiments described in the ACM MM'22 paper Paper
Requirements
All the required packages can be installed by running pip install -r requirements.txt
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Difficulty estimation
python main.py --dst cifar10 --arch resnet18
Visualization
python main.py --dst cifar10 --arch visualization
Domain adaptation
For domain adaptation, we have released our implementation of CRST and Curricular DSAN.
cd DeepDA
bash run.sh
Video
Presentation and Slides
If you make use of this code in your work, please cite the following paper: @article{peng2022angular, title={Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration}, author={Peng, Bohua and Islam, Mobarakol and Tu, Mei}, journal={arXiv preprint arXiv:2207.08525}, year={2022} }