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Partial success in closing the gap between human and machine vision

Partial success in closing the gap between human and machine vision

14 June 2021
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
    VLM
    AAML
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Papers citing "Partial success in closing the gap between human and machine vision"

50 / 131 papers shown
Title
Linking forward-pass dynamics in Transformers and real-time human processing
Linking forward-pass dynamics in Transformers and real-time human processing
Jennifer Hu
Michael A. Lepori
Michael Franke
AI4CE
83
0
0
18 Apr 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
Qi Bi
Jingjun Yi
Hao Zheng
Haolan Zhan
Wei Ji
Yawen Huang
Yuexiang Li
OOD
30
1
0
10 Apr 2025
Contour Integration Underlies Human-Like Vision
Contour Integration Underlies Human-Like Vision
Ben Lonnqvist
Elsa Scialom
Abdülkadir Gökce
Zehra Merchant
Michael H. Herzog
Martin Schrimpf
VLM
28
0
0
07 Apr 2025
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Shuhao Fu
Andrew Jun Lee
Anna Wang
Ida Momennejad
Trevor J. Bihl
Hongjing Lu
Taylor W. Webb
CoGe
OCL
101
1
0
29 Mar 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models?
Beyond Accuracy: What Matters in Designing Well-Behaved Models?
Robin Hesse
Doğukan Bağcı
Bernt Schiele
Simone Schaub-Meyer
Stefan Roth
VLM
54
0
0
21 Mar 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
Xiaofeng Mao
YueFeng Chen
Rong Zhang
Hui Xue
Zhao Li
Hang Su
AAML
VLM
41
0
0
21 Mar 2025
MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback
MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback
Mina Kamao
Hayato Ono
Ayumu Yamashita
Kaoru Amano
Masataka Sawayama
36
0
0
17 Mar 2025
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
Edgar Heinert
Thomas Gottwald
Annika Mütze
Matthias Rottmann
57
0
0
16 Mar 2025
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Yancheng Cai
Fei Yin
Dounia Hammou
Rafal Mantiuk
VLM
Presented at ResearchTrend Connect | VLM on 14 Mar 2025
138
1
0
13 Mar 2025
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
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Chaitanya Kapoor
Sudhanshu Srivastava
Meenakshi Khosla
68
0
0
26 Feb 2025
Category-Selective Neurons in Deep Networks: Comparing Purely Visual and Visual-Language Models
Category-Selective Neurons in Deep Networks: Comparing Purely Visual and Visual-Language Models
Zitong Lu
Yuxin Wang
39
0
0
23 Feb 2025
Brain-Model Evaluations Need the NeuroAI Turing Test
Jenelle Feather
Meenakshi Khosla
N. Apurva Ratan Murty
Aran Nayebi
67
3
0
22 Feb 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
Yuhan Zhang
Guoqing Ma
Guangfu Hao
Liangxuan Guo
Yang Chen
S. Yu
OnRL
69
0
0
08 Feb 2025
The in-context inductive biases of vision-language models differ across modalities
The in-context inductive biases of vision-language models differ across modalities
Kelsey Allen
Ishita Dasgupta
Eliza Kosoy
Andrew Kyle Lampinen
68
0
0
03 Feb 2025
Human Gaze Boosts Object-Centered Representation Learning
Timothy Schaumlöffel
A. Aubret
Gemma Roig
Jochen Triesch
33
0
0
06 Jan 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making Systems
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
34
0
0
03 Jan 2025
DT-JRD: Deep Transformer based Just Recognizable Difference Prediction
  Model for Video Coding for Machines
DT-JRD: Deep Transformer based Just Recognizable Difference Prediction Model for Video Coding for Machines
Junqi Liu
Yun Zhang
Xiaoqi Wang
Xu Long
Sam Kwong
26
0
0
14 Nov 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
31
3
0
18 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models?
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
M. Keuper
J. Keuper
26
2
0
18 Oct 2024
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End
  Improves CNN Robustness
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Lucas Piper
Arlindo L. Oliveira
Tiago Marques
20
1
0
25 Sep 2024
VFA: Vision Frequency Analysis of Foundation Models and Human
VFA: Vision Frequency Analysis of Foundation Models and Human
Mohammad Javad Darvishi Bayazi
Md Rifat Arefin
Jocelyn Faubert
Irina Rish
VLM
29
1
0
09 Sep 2024
HVM-1: Large-scale video models pretrained with nearly 5000 hours of
  human-like video data
HVM-1: Large-scale video models pretrained with nearly 5000 hours of human-like video data
Emin Orhan
VLM
SyDa
27
1
0
25 Jul 2024
What does Kiki look like? Cross-modal associations between speech sounds
  and visual shapes in vision-and-language models
What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models
Tessa Verhoef
Kiana Shahrasbi
Tom Kouwenhoven
VLM
23
2
0
25 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
34
3
0
15 Jul 2024
Teaching CORnet Human fMRI Representations for Enhanced Model-Brain
  Alignment
Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment
Zitong Lu
Yile Wang
18
1
0
15 Jul 2024
How Aligned are Different Alignment Metrics?
How Aligned are Different Alignment Metrics?
Jannis Ahlert
Thomas Klein
Felix Wichmann
Robert Geirhos
27
4
0
10 Jul 2024
Wavelet Convolutions for Large Receptive Fields
Wavelet Convolutions for Large Receptive Fields
Shahaf E. Finder
Roy Amoyal
Eran Treister
O. Freifeld
ViT
MDE
20
50
0
08 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
32
0
0
14 Jun 2024
Clarifying Myths About the Relationship Between Shape Bias, Accuracy,
  and Robustness
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness
Zahra Golpayegani
Patrick St-Amant
Nizar Bouguila
27
1
0
07 Jun 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines
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
41
6
0
06 Jun 2024
Enhancing 2D Representation Learning with a 3D Prior
Enhancing 2D Representation Learning with a 3D Prior
Mehmet Aygun
Prithviraj Dhar
Zhicheng Yan
Oisin Mac Aodha
Rakesh Ranjan
SSL
47
1
0
04 Jun 2024
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Volker Knauthe
Arne Rak
Tristan Wirth
Thomas Pollabauer
Simon Metzler
Arjan Kuijper
Dieter W. Fellner
29
2
0
21 May 2024
CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation
CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation
Weiquan Huang
Yifei Shen
Yifan Yang
Mamba
33
4
0
30 Apr 2024
Saliency Suppressed, Semantics Surfaced: Visual Transformations in
  Neural Networks and the Brain
Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
Gustaw Opielka
Jessica Loke
Steven Scholte
19
0
0
29 Apr 2024
DGMamba: Domain Generalization via Generalized State Space Model
DGMamba: Domain Generalization via Generalized State Space Model
Shaocong Long
Qianyu Zhou
Xiangtai Li
Xuequan Lu
Chenhao Ying
Yuan Luo
Lizhuang Ma
Shuicheng Yan
49
9
0
11 Apr 2024
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
Simon Schrodi
David T. Hoffmann
Max Argus
Volker Fischer
Thomas Brox
VLM
50
0
0
11 Apr 2024
MindSet: Vision. A toolbox for testing DNNs on key psychological
  experiments
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Valerio Biscione
Don Yin
Gaurav Malhotra
Marin Dujmović
M. Montero
...
Rachel Heaton
John E. Hummel
Benjamin D. Evans
Karim G. Habashy
Jeffrey S. Bowers
24
2
0
08 Apr 2024
Learning Correlation Structures for Vision Transformers
Learning Correlation Structures for Vision Transformers
Manjin Kim
Paul Hongsuck Seo
Cordelia Schmid
Minsu Cho
ViT
24
7
0
05 Apr 2024
Can Biases in ImageNet Models Explain Generalization?
Can Biases in ImageNet Models Explain Generalization?
Paul Gavrikov
J. Keuper
OOD
VLM
24
11
0
01 Apr 2024
Machine Learning Robustness: A Primer
Machine Learning Robustness: A Primer
Houssem Ben Braiek
Foutse Khomh
AAML
OOD
29
5
0
01 Apr 2024
Complementarity in Human-AI Collaboration: Concept, Sources, and
  Evidence
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence
Patrick Hemmer
Max Schemmer
Niklas Kühl
Michael Vossing
G. Satzger
22
15
0
21 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
P. Turaga
Theodore P. Pavlic
CML
22
0
0
21 Mar 2024
Explorations in Texture Learning
Explorations in Texture Learning
Blaine Hoak
Patrick D. McDaniel
29
2
0
14 Mar 2024
An Analysis of Human Alignment of Latent Diffusion Models
An Analysis of Human Alignment of Latent Diffusion Models
Lorenz Linhardt
Marco Morik
Sidney Bender
Naima Elosegui Borras
DiffM
31
3
0
13 Mar 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks
  Relative to Human Performance
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
Huakun Shen
Boyue Caroline Hu
Krzysztof Czarnecki
Lina Marsso
Marsha Chechik
27
0
0
29 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Weijie Tu
Weijian Deng
Tom Gedeon
UQCV
VLM
20
32
0
12 Feb 2024
Self-supervised learning of video representations from a child's
  perspective
Self-supervised learning of video representations from a child's perspective
A. Orhan
Wentao Wang
Alex N. Wang
Mengye Ren
Brenden Lake
17
4
0
01 Feb 2024
Achieving More Human Brain-Like Vision via Human EEG Representational
  Alignment
Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
Zitong Lu
Yile Wang
Julie D. Golomb
18
5
0
30 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentation
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
19
5
0
17 Jan 2024
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