ICML 2022 Workshop Shift Happens Submissions

OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao, Caroline Choi, Yoonho Lee, Pang Wei Koh, Chelsea Finn
- Published: 12 Jul 2022, Last Modified: 22 Oct 2023
- Shift Happens 2022 Poster
- Readers: Everyone
Growing ObjectNet: Adding speech, VQA, occlusion, and measuring dataset difficulty
David Mayo, David Lu, Chris Zhang, Jesse Cummings, Xinyu Lin, Boris Katz, James R. Glass, Andrei Barbu
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts
Weixin Liang, Xinyu Yang, James Y. Zou
- 04 Jun 2022 (modified: 05 May 2023)
- Shift Happens 2022 ContributedTalk
- Readers: Everyone
Classifiers Should Do Well Even on Their Worst Classes
Julian Bitterwolf, Alexander Meinke, Valentyn Boreiko, Matthias Hein
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
Lost in Translation: Modern Image Classifiers still degrade even under simple Translations
Leander Kurscheidt, Matthias Hein
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
Towards Systematic Robustness for Scalable Visual Recognition
Mohamed Omran, Bernt Schiele
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
Evaluating Model Robustness to Patch Perturbations
Jindong Gu, Volker Tresp, Yao Qin
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet
Tiago Salvador, Adam M Oberman
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
CCC: Continuously Changing Corruptions
Ori Press, Steffen Schneider, Matthias Kuemmerer, Matthias Bethge
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size
Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
ImageNet-D: A new challenging robustness dataset inspired by domain adaptation
Evgenia Rusak, Steffen Schneider, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
The Semantic Shift Benchmark
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
When does dough become a bagel?Analyzing the remaining mistakes on ImageNet
Vijay Vasudevan, Benjamin Caine, Raphael Gontijo-Lopes, Sara Fridovich-Keil, Rebecca Roelofs
- 04 Jun 2022 (modified: 05 May 2023)
- Shift Happens 2022 ContributedTalk
- Readers: Everyone
3D Common Corruptions for Object Recognition
Oguzhan Fatih Kar, Teresa Yeo, Amir Zamir
- Published: 12 Jul 2022, Last Modified: 05 May 2023
- Shift Happens 2022 Poster
- Readers: Everyone
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
- 04 Jun 2022 (modified: 22 Oct 2023)
- Shift Happens 2022 ContributedTalk
- Readers: Everyone