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Towards Robust Image Classification Using Sequential Attention Models

Towards Robust Image Classification Using Sequential Attention Models

4 December 2019
Daniel Zoran
Mike Chrzanowski
Po-Sen Huang
Sven Gowal
Alex Mott
Pushmeet Kohli
    AAML
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Papers citing "Towards Robust Image Classification Using Sequential Attention Models"

12 / 12 papers shown
Title
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing
  Adversarial Robustness
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Zhiming Luo
AAML
46
1
0
17 Jun 2024
Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task
Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task
Jason Li
Nicholas Watters
Yingting Wang
Wang
H. Sohn
M. Jazayeri
17
8
0
20 Dec 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Philip Chikontwe
Soopil Kim
Sang Hyun Park
30
32
0
25 Mar 2022
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
S. Tan
Runpei Dong
Kaisheng Ma
22
2
0
03 Nov 2021
Improving Robustness using Generated Data
Improving Robustness using Generated Data
Sven Gowal
Sylvestre-Alvise Rebuffi
Olivia Wiles
Florian Stimberg
D. A. Calian
Timothy A. Mann
30
293
0
18 Oct 2021
Impact of Attention on Adversarial Robustness of Image Classification
  Models
Impact of Attention on Adversarial Robustness of Image Classification Models
Prachi Agrawal
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
AAML
18
6
0
02 Sep 2021
Bio-inspired Robustness: A Review
Bio-inspired Robustness: A Review
Harshitha Machiraju
Oh-hyeon Choung
P. Frossard
Michael H. Herzog
AAML
30
1
0
16 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
53
973
0
04 Mar 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
61
108
0
17 Jan 2021
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
17
323
0
07 Oct 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
156
789
0
24 Nov 2014
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