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1807.10587
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Finding any Waldo: zero-shot invariant and efficient visual search
18 July 2018
Mengmi Zhang
Jiashi Feng
K. Ma
J. Lim
Qi Zhao
Gabriel Kreiman
VLM
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Papers citing
"Finding any Waldo: zero-shot invariant and efficient visual search"
8 / 8 papers shown
Title
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal
Sauradip Nag
Xiatian Zhu
Anjan Dutta
41
3
0
08 Mar 2024
Learning to search for and detect objects in foveal images using deep learning
Beatriz Paula
Plinio Moreno
ObjD
34
0
0
12 Apr 2023
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
Sounak Mondal
Zhibo Yang
Seoyoung Ahn
Dimitris Samaras
G. Zelinsky
Minh Hoai
27
29
0
27 Mar 2023
Predicting Visual Attention and Distraction During Visual Search Using Convolutional Neural Networks
Manoosh Samiei
James J. Clark
27
0
0
27 Oct 2022
Benchmarking human visual search computational models in natural scenes: models comparison and reference datasets
F. Travi
G. Ruarte
G. Bujia
J. Kamienkowski
21
1
0
10 Dec 2021
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
29
14
0
05 Jan 2021
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning
Zhibo Yang
Lihan Huang
Yupei Chen
Zijun Wei
Seoyoung Ahn
G. Zelinsky
Dimitris Samaras
Minh Hoai
25
96
0
28 May 2020
Capacity limitations of visual search in deep convolutional neural networks
E. Põder
VLM
27
8
0
31 Jul 2017
1