Responsible Computer Vision

MTUNet: Few-Shot Image Classification With Visual Explanations

Bowen Wang,

Liangzhi Li,

Manisha Verma,

Yuta Nakashima,

Ryo Kawasaki,

Hajime Nagahara

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Bowen and Li, Liangzhi and Verma, Manisha and Nakashima, Yuta and Kawasaki, Ryo and Nagahara, Hajime}, title = {MTUNet: Few-Shot Image Classification With Visual Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2294-2298} }

Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies

Ezgi Korkmaz

[pdf]

[bibtex]

@InProceedings{Korkmaz_2021_CVPR, author = {Korkmaz, Ezgi}, title = {Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2323-2327} }

Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation

Attila Szabo,

Hadi Jamali-Rad,

Siva-Datta Mannava

[pdf] [supp]

[bibtex]

@InProceedings{Szabo_2021_CVPR, author = {Szabo, Attila and Jamali-Rad, Hadi and Mannava, Siva-Datta}, title = {Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2305-2310} }

Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis

Samuele Poppi,

Marcella Cornia,

Lorenzo Baraldi,

Rita Cucchiara

[pdf] [arXiv]

[bibtex]

@InProceedings{Poppi_2021_CVPR, author = {Poppi, Samuele and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita}, title = {Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2299-2304} }

Casual Conversations: A Dataset for Measuring Fairness in AI

Caner Hazirbas,

Joanna Bitton,

Brian Dolhansky,

Jacqueline Pan,

Albert Gordo,

Cristian Canton Ferrer

[pdf]

[bibtex]

@InProceedings{Hazirbas_2021_CVPR, author = {Hazirbas, Caner and Bitton, Joanna and Dolhansky, Brian and Pan, Jacqueline and Gordo, Albert and Ferrer, Cristian Canton}, title = {Casual Conversations: A Dataset for Measuring Fairness in AI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2289-2293} }

Are All Users Treated Fairly in Federated Learning Systems?

Umberto Michieli,

Mete Ozay

[pdf]

[bibtex]

@InProceedings{Michieli_2021_CVPR, author = {Michieli, Umberto and Ozay, Mete}, title = {Are All Users Treated Fairly in Federated Learning Systems?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2318-2322} }

Reconsidering CO2 Emissions From Computer Vision

Andre Fu,

Mahdi S. Hosseini,

Konstantinos N. Plataniotis

[pdf] [arXiv]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Andre and Hosseini, Mahdi S. and Plataniotis, Konstantinos N.}, title = {Reconsidering CO2 Emissions From Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2311-2317} }