FOCUS: Familiar Objects in Common and Uncommon Settings

7 October 2021

Papers citing "FOCUS: Familiar Objects in Common and Uncommon Settings"

9 / 9 papers shown

Title
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks Y. Li Fan Ma Yi Yang DiffM 151 2 0 24 Nov 2024
DIAGen: Diverse Image Augmentation with Generative Models Tobias Lingenberg Markus Reuter Gopika Sudhakaran Dominik Gojny Stefan Roth Simone Schaub-Meyer DiffM 31 3 0 26 Aug 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images Krishnakant Singh Thanush Navaratnam Jannik Holmer Simone Schaub-Meyer Stefan Roth DiffM 49 18 0 30 May 2024
Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation Atoosa Malemir Chegini S. Feizi VLM 40 2 0 09 Dec 2023
Invariant Learning via Diffusion Dreamed Distribution Shifts Priyatham Kattakinda Alexander Levine S. Feizi DiffM 23 10 0 18 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness Mazda Moayeri Kiarash Banihashem S. Feizi OOD 75 21 0 15 Sep 2022
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016