Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

30 June 2020

Papers citing "Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency"

26 / 26 papers shown

Title
Testing the limits of fine-tuning to improve reasoning in vision language models Luca M. Schulze Buschoff Konstantinos Voudouris Elif Akata Matthias Bethge Joshua B. Tenenbaum Eric Schulz LRM VLM Presented at ResearchTrend Connect \| VLM on 14 Mar 2025 124 0 1 24 Feb 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 41 0 0 03 Jan 2025
The 3D-PC: a benchmark for visual perspective taking in humans and machines Drew Linsley Peisen Zhou A. Ashok Akash Nagaraj Gaurav Gaonkar Francis E Lewis Zygmunt Pizlo Thomas Serre 48 6 0 06 Jun 2024
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings Olivia Wiles Chuhan Zhang Isabela Albuquerque Ivana Kajić Su Wang ... Jordi Pont-Tuset Aida Nematzadeh Anant Nawalgaria Jordi Pont-Tuset Aida Nematzadeh EGVM 129 14 0 25 Apr 2024
Enhancing the machine vision performance with multi-spectral light sources Feng Zhang Rui Bao Congqi Dai Wanlu Zhang Shu Liu R. Guo 15 0 0 20 Oct 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon E. Choi 30 1 0 03 Aug 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 52 64 0 10 May 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 28 9 0 22 Mar 2023
Spatial Bias for Attention-free Non-local Neural Networks Junhyung Go Jongbin Ryu SSL 27 10 0 24 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 38 13 0 01 Feb 2023
Downstream Datasets Make Surprisingly Good Pretraining Corpora Kundan Krishna Saurabh Garg Jeffrey P. Bigham Zachary Chase Lipton 45 30 0 28 Sep 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 40 47 0 18 Aug 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 54 16 0 20 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet Vijay Vasudevan Benjamin Caine Raphael Gontijo-Lopes Sara Fridovich-Keil Rebecca Roelofs VLM UQCV 43 57 0 09 May 2022
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 20 60 0 20 Oct 2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration Gavin Kerrigan Padhraic Smyth M. Steyvers 27 46 0 29 Sep 2021
Towards robust vision by multi-task learning on monkey visual cortex Shahd Safarani Arne F. Nix K. Willeke Santiago A. Cadena Kelli Restivo George H. Denfield A. Tolias Fabian H. Sinz OOD 19 52 0 29 Jul 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 44 31 0 23 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 48 221 0 14 Jun 2021
FoveaTer: Foveated Transformer for Image Classification Aditya Jonnalagadda Luu Anh Tuan B. S. Manjunath M. Eckstein ViT 22 23 0 29 May 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 30 1 0 16 Mar 2021
Deep Neural Models for color discrimination and color constancy Alban Flachot A. Akbarinia Heiko H. Schutt R. Fleming Felix Wichmann K. Gegenfurtner 19 2 0 28 Dec 2020
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 51 56 0 21 Dec 2020
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 74 46 0 16 Oct 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017