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Keep CALM and Improve Visual Feature Attribution

Keep CALM and Improve Visual Feature Attribution

15 June 2021
Jae Myung Kim
Junsuk Choe
Zeynep Akata
Seong Joon Oh
    FAtt
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Papers citing "Keep CALM and Improve Visual Feature Attribution"

15 / 15 papers shown
Title
Graphical Perception of Saliency-based Model Explanations
Graphical Perception of Saliency-based Model Explanations
Yayan Zhao
Mingwei Li
Matthew Berger
XAI
FAtt
49
2
0
11 Jun 2024
Improving Weakly-Supervised Object Localization Using Adversarial
  Erasing and Pseudo Label
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label
Byeongkeun Kang
Sinhae Cha
Yeejin Lee
WSOL
38
0
0
15 Apr 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural
  Images
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
Christopher Hamblin
Thomas Fel
Srijani Saha
Talia Konkle
George A. Alvarez
FAtt
31
3
0
15 Feb 2024
Dual-Channel Reliable Breast Ultrasound Image Classification Based on
  Explainable Attribution and Uncertainty Quantification
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
Shuge Lei
Haonan Hu
Desheng Sun
Huabin Zhang
Kehong Yuan
Jian Dai
Jijun Tang
Yan Tong
35
0
0
08 Jan 2024
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond
  Examples
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
20
4
0
09 Nov 2023
Bridging the Gap between Model Explanations in Partially Annotated
  Multi-label Classification
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Youngwook Kim
Jae Myung Kim
Ji-Eun Jeong
Cordelia Schmid
Zeynep Akata
Jungwook Lee
27
7
0
04 Apr 2023
On Label Granularity and Object Localization
On Label Granularity and Object Localization
Elijah Cole
Kimberly Wilber
Grant Van Horn
Xuan S. Yang
Marco Fornoni
Pietro Perona
Serge Belongie
Andrew G. Howard
Oisin Mac Aodha
WSOL
30
13
0
20 Jul 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Large Loss Matters in Weakly Supervised Multi-Label Classification
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
32
47
0
08 Jun 2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised
  Semantic Segmentation and Object Localization
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Jungbeom Lee
Eunji Kim
J. Mok
Sung-Hoon Yoon
WSOL
40
29
0
11 Apr 2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Leonard Salewski
A. Sophia Koepke
Hendrik P. A. Lensch
Zeynep Akata
LRM
NAI
30
20
0
05 Apr 2022
Bridging the Gap between Classification and Localization for Weakly
  Supervised Object Localization
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization
Eunji Kim
Siwon Kim
Jungbeom Lee
Hyunwoo J. Kim
Sung-Hoon Yoon
WSOL
39
45
0
01 Apr 2022
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
Feng Chen
Fei Wu
Qi Wu
Zhiguo Wan
52
6
0
18 Sep 2021
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAML
FaML
XAI
HAI
23
317
0
19 Mar 2021
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
210
107
0
26 Aug 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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