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Comparing object recognition in humans and deep convolutional neural
  networks -- An eye tracking study

Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study

30 July 2021
Leonard E. van Dyck
Roland Kwitt
Sebastian J. Denzler
W. Gruber
ArXivPDFHTML

Papers citing "Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study"

14 / 14 papers shown
Title
From Fog to Failure: The Unintended Consequences of Dehazing on Object Detection in Clear Images
From Fog to Failure: The Unintended Consequences of Dehazing on Object Detection in Clear Images
Ashutosh Kumar
Aman Chadha
74
0
0
04 Feb 2025
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
Ashutosh Kumar
35
0
0
02 Oct 2024
Selecting Interpretability Techniques for Healthcare Machine Learning
  models
Selecting Interpretability Techniques for Healthcare Machine Learning models
Daniel Sierra-Botero
Ana Molina-Taborda
Mario S. Valdés-Tresanco
Alejandro Hernández-Arango
Leonardo Espinosa-Leal
Alexander Karpenko
O. Lopez-Acevedo
31
0
0
14 Jun 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
54
45
0
23 Feb 2024
How much data do I need? A case study on medical data
How much data do I need? A case study on medical data
Ayse Betul Cengiz
A. Mcgough
19
2
0
26 Nov 2023
Interpretability is in the eye of the beholder: Human versus artificial
  classification of image segments generated by humans versus XAI
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI
Romy Müller
Marius Thoss
Julian Ullrich
Steffen Seitz
Carsten Knoll
26
3
0
21 Nov 2023
Reinforcement Learning-based Mixture of Vision Transformers for Video
  Violence Recognition
Reinforcement Learning-based Mixture of Vision Transformers for Video Violence Recognition
Hamid Reza Mohammadi
Ehsan Nazerfard
Tahereh Firoozi
ViT
27
2
0
04 Oct 2023
Temporal DINO: A Self-supervised Video Strategy to Enhance Action
  Prediction
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
Izzeddin Teeti
Rongali Sai Bhargav
Vivek Singh
Andrew Bradley
Biplab Banerjee
Fabio Cuzzolin
19
1
0
08 Aug 2023
Do humans and Convolutional Neural Networks attend to similar areas
  during scene classification: Effects of task and image type
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type
Romy Müller
Marcel Duerschmidt
Julian Ullrich
Carsten Knoll
Sascha Weber
Steffen Seitz
HAI
21
6
0
25 Jul 2023
Detecting Worker Attention Lapses in Human-Robot Interaction: An Eye
  Tracking and Multimodal Sensing Study
Detecting Worker Attention Lapses in Human-Robot Interaction: An Eye Tracking and Multimodal Sensing Study
Zhuangzhuang Dai
Jinha Park
Aleksandra Kaszowska
Chen Li
16
2
0
20 Apr 2023
ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration
  Systems for Blind and Low Vision Users
ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Users
Vishnu Nair
Han Zhu
Brian A. Smith
10
17
0
17 Feb 2023
Brain informed transfer learning for categorizing construction hazards
Brain informed transfer learning for categorizing construction hazards
Xiaoshan Zhou
P-C. Liao
24
2
0
17 Nov 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on
  Human Eye Movements
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements
Leonard E. van Dyck
Sebastian J. Denzler
W. Gruber
22
9
0
21 Jun 2022
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward
  Architectures and Improvements with Recurrent Connections
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
Shobhita Sundaram
Darius Sinha
Matthew Groth
Tomotake Sasaki
Xavier Boix
25
1
0
08 Dec 2021
1