The Robustness Limits of SoTA Vision Models to Natural Variation

The Robustness Limits of SoTA Vision Models to Natural Variation

24 October 2022

Diane Bouchacourt

Papers citing "The Robustness Limits of SoTA Vision Models to Natural Variation"

17 / 17 papers shown

Title
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness Nathan G. Drenkow Mathias Unberath OOD 76 0 0 04 Mar 2025
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks Lotfi Abdelkrim Mecharbat Alberto Marchisio Muhammad Shafique M. Ghassemi Tuka Alhanai 82 0 0 11 Feb 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 88 1 0 16 Dec 2024
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification Markus Marks Manuel Knott Neehar Kondapaneni Elijah Cole T. Defraeye Fernando Pérez-Cruz Pietro Perona SSL 40 2 0 16 Jul 2024
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes H. Malik Muhammad Huzaifa Muzammal Naseer Salman Khan Fahad Shahbaz Khan DiffM 40 2 0 07 Mar 2024
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning Florian Bordes Shashank Shekhar Mark Ibrahim Diane Bouchacourt Pascal Vincent Ari S. Morcos 23 26 0 08 Aug 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 66 11 0 24 Jul 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 25 25 0 26 May 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 26 70 0 09 Dec 2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 31 79 0 15 Nov 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 290 7,434 0 11 Nov 2021
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be Valerio Biscione J. Bowers OOD 63 26 0 12 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 207 487 0 01 Oct 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 168 686 0 22 Apr 2021
On the surprising similarities between supervised and self-supervised models Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Matthias Bethge Felix Wichmann Wieland Brendel OOD SSL DRL 69 46 0 16 Oct 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020