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Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
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Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases

Shashi Kant Gupta
Mengmi Zhang
Chia-Chien Wu
J. Wolfe
Gabriel Kreiman
    ObjD
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Papers citing "Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases"

7 / 7 papers shown
Title
Pop-out vs. Glue: A Study on the pre-attentive and focused attention stages in Visual Search tasks
Pop-out vs. Glue: A Study on the pre-attentive and focused attention stages in Visual Search tasks
Hendrik Beukelman
Wilder C. Rodrigues
LRM
75
0
0
14 Dec 2024
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal
Sauradip Nag
Xiatian Zhu
Anjan Dutta
115
3
0
08 Mar 2024
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
Youbing Hu
Yun Cheng
Anqi Lu
Zhiqiang Cao
Dawei Wei
Jie Liu
Zhijun Li
ViT
60
6
0
08 Jan 2024
Training-free Object Counting with Prompts
Training-free Object Counting with Prompts
Zenglin Shi
Ying Sun
Mengmi Zhang
VLM
71
22
0
30 Jun 2023
Improving generalization by mimicking the human visual diet
Improving generalization by mimicking the human visual diet
Spandan Madan
You Li
Mengmi Zhang
Hanspeter Pfister
Gabriel Kreiman
60
2
0
15 Jun 2022
Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species
Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species
Mengmi Zhang
M. Armendáriz
Will Xiao
Olivia Rose
K. Bendtz
Margaret Livingstone
Carlos R. Ponce
Gabriel Kreiman
58
16
0
05 Jan 2021
Capacity limitations of visual search in deep convolutional neural networks
Capacity limitations of visual search in deep convolutional neural networks
E. Põder
VLM
48
7
0
31 Jul 2017