Partial success in closing the gap between human and machine vision

14 June 2021

Robert Geirhos

Kantharaju Narayanappa

Wieland Brendel

Papers citing "Partial success in closing the gap between human and machine vision"

31 / 131 papers shown

Title
Perceptual Grouping in Contrastive Vision-Language Models Kanchana Ranasinghe Brandon McKinzie S. S. Ravi Yinfei Yang Alexander Toshev Jonathon Shlens VLM 19 51 0 18 Oct 2022
Active Learning from the Web Ryoma Sato 14 0 0 15 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 19 50 0 08 Oct 2022
Generalizability of Adversarial Robustness Under Distribution Shifts Kumail Alhamoud Hasan Hammoud Motasem Alfarra Bernard Ghanem OOD 43 8 0 29 Sep 2022
Reconstruction-guided attention improves the robustness and shape processing of neural networks Seoyoung Ahn Hossein Adeli G. Zelinsky DiffM AAML 23 1 0 27 Sep 2022
Visual representations in the human brain are aligned with large language models Adrien Doerig Tim C Kietzmann Emily J. Allen Yihan Wu Thomas Naselaris Kendrick Norris Kay I. Charest 32 23 0 23 Sep 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks Borhane Blili-Hamelin Leif Hancox-Li 17 16 0 01 Sep 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 30 46 0 18 Aug 2022
A comment on Guo et al. [arXiv:2206.11228] Ben Lonnqvist Harshitha Machiraju Michael H. Herzog AAML 12 0 0 02 Aug 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 12 42 0 26 Jul 2022
Progress and limitations of deep networks to recognize objects in unusual poses Amro Abbas Stéphane Deny OOD AAML 13 14 0 16 Jul 2022
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 17 416 0 29 Jun 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 14 79 0 27 Jun 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks Ajay Subramanian Sara A. Price Omkar Kumbhar E. Sizikova N. Majaj D. Pelli 12 1 0 16 Jun 2022
A Meta-Analysis of Distributionally-Robust Models Ben Feuer Ameya Joshi C. Hegde OOD VLM 19 3 0 15 Jun 2022
What Knowledge Gets Distilled in Knowledge Distillation? Utkarsh Ojha Yuheng Li Anirudh Sundara Rajan Yingyu Liang Yong Jae Lee FedML 8 18 0 31 May 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks Lukas Huber Robert Geirhos Felix Wichmann 46 16 0 20 May 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 29 314 0 06 Apr 2022
Understanding out-of-distribution accuracies through quantifying difficulty of test samples Berfin Simsek Melissa Hall Levent Sagun 15 5 0 28 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 12 13 0 08 Mar 2022
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines Alexa R. Tartaglini Wai Keen Vong Brenden Lake 12 14 0 16 Feb 2022
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks A. Harrington Arturo Deza OOD AAML 21 20 0 02 Feb 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 660 0 24 Jan 2022
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap? Nathan G. Drenkow Numair Sani I. Shpitser Mathias Unberath 16 73 0 01 Dec 2021
Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond) Kristof Meding Luca M. Schulze Buschoff Robert Geirhos Felix Wichmann 28 40 0 12 Oct 2021
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition? Emin Orhan OOD 30 4 0 23 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip H. S. Torr Dacheng Tao VLM AAML 19 106 0 11 Sep 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 618 0 21 May 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 13 315 0 19 Mar 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
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020