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

5 June 2021

Shashi Kant Gupta

Gabriel Kreiman

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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 Hendrik Beukelman Wilder C. Rodrigues LRM 75 0 0 14 Dec 2024
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 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 Zenglin Shi Ying Sun Mengmi Zhang VLM 71 22 0 30 Jun 2023
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 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 E. Põder VLM 48 7 0 31 Jul 2017