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Top-down Neural Attention by Excitation Backprop

Top-down Neural Attention by Excitation Backprop

1 August 2016
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
ArXiv (abs)PDFHTML

Papers citing "Top-down Neural Attention by Excitation Backprop"

50 / 317 papers shown
Title
Evaluating Model Explanations without Ground Truth
Evaluating Model Explanations without Ground Truth
Kaivalya Rawal
Zihao Fu
Eoin Delaney
Chris Russell
FAttXAI
137
0
0
15 May 2025
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability
Jonggwon Park
Soobum Kim
Byungmu Yoon
Kyoyun Choi
MedIm
102
0
0
10 Apr 2025
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
Rupayan Mallick
Sibo Dong
Nataniel Ruiz
Sarah Adel Bargal
DiffM
249
0
0
08 Apr 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
99
0
0
25 Mar 2025
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
Emré Anakok
Pierre Barbillon
Colin Fontaine
Elisa Thébault
85
0
0
19 Mar 2025
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
Minjae Chung
Jong Bum Won
Ganghyun Kim
Yujin Kim
Utku Ozbulak
MedIm
194
0
0
12 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Itay Benou
Tammy Riklin-Raviv
150
1
0
27 Feb 2025
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
Meng Lou
Yizhou Yu
313
1
0
27 Feb 2025
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
Soufiane Belharbi
Shakeeb Murtaza
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
235
5
0
28 Jan 2025
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
Susu Sun
Leslie Tessier
Frédérique Meeuwsen
Clément Grisi
Dominique van Midden
G. Litjens
Christian F. Baumgartner
129
2
0
06 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein
Carsten T. Lüth
U. Schlegel
Till J. Bungert
Mennatallah El-Assady
Paul F. Jäger
XAIELM
276
7
0
03 Jan 2025
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Wen-Dong Jiang
Chih-Yung Chang
Show-Jane Yen
Diptendu Sinha Roy
FAttHAI
268
1
0
02 Dec 2024
Interpreting Object-level Foundation Models via Visual Precision Search
Interpreting Object-level Foundation Models via Visual Precision Search
Ruoyu Chen
Siyuan Liang
Jingzhi Li
Shiming Liu
Maosen Li
Zheng Huang
Qichuan Geng
Xiaochun Cao
FAtt
223
4
0
25 Nov 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
262
0
0
10 Oct 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation
Interpret the Predictions of Deep Networks via Re-Label Distillation
Yingying Hua
Shiming Ge
Daichi Zhang
FAtt
117
0
0
20 Sep 2024
Towards A Comprehensive Visual Saliency Explanation Framework for
  AI-based Face Recognition Systems
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems
Yuhang Lu
Zewei Xu
Touradj Ebrahimi
CVBMFAttXAI
69
3
0
08 Jul 2024
Graphical Perception of Saliency-based Model Explanations
Graphical Perception of Saliency-based Model Explanations
Yayan Zhao
Mingwei Li
Matthew Berger
XAIFAtt
82
2
0
11 Jun 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Walid Bousselham
Angie Boggust
Sofian Chaybouti
Hendrik Strobelt
Hilde Kuehne
163
13
0
04 Apr 2024
Feature CAM: Interpretable AI in Image Classification
Feature CAM: Interpretable AI in Image Classification
Frincy Clement
Ji Yang
Irene Cheng
FAtt
38
1
0
08 Mar 2024
Guided Interpretable Facial Expression Recognition via Spatial Action
  Unit Cues
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
Soufiane Belharbi
M. Pedersoli
A. L. Koerich
Simon L Bacon
Eric Granger
93
14
0
01 Feb 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling
Enhancing medical vision-language contrastive learning via inter-matching relation modelling
Mingjian Li
Mingyuan Meng
M. Fulham
David Dagan Feng
Lei Bi
Jinman Kim
VLM
144
1
0
19 Jan 2024
Explaining Deep Face Algorithms through Visualization: A Survey
Explaining Deep Face Algorithms through Visualization: A Survey
Thrupthi Ann
S. M. I. C. V. Balasubramanian
M. Jawahar
CVBM
54
1
0
26 Sep 2023
On Model Explanations with Transferable Neural Pathways
On Model Explanations with Transferable Neural Pathways
Xinmiao Lin
Wentao Bao
Qi Yu
Yu Kong
37
0
0
18 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability
  Methods
FIND: A Function Description Benchmark for Evaluating Interpretability Methods
Sarah Schwettmann
Tamar Rott Shaham
Joanna Materzyñska
Neil Chowdhury
Shuang Li
Jacob Andreas
David Bau
Antonio Torralba
56
22
0
07 Sep 2023
Decoding Layer Saliency in Language Transformers
Decoding Layer Saliency in Language Transformers
Elizabeth M. Hou
Greg Castañón
MILM
62
0
0
09 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods
Precise Benchmarking of Explainable AI Attribution Methods
Rafael Brandt
Daan Raatjens
G. Gaydadjiev
XAI
62
4
0
06 Aug 2023
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
Quoc Khanh Nguyen
Hung Truong Thanh Nguyen
Truong Thanh Hung Nguyen
Van Binh Truong
Quoc Hung Cao
46
4
0
06 Jun 2023
Discriminative Deep Feature Visualization for Explainable Face
  Recognition
Discriminative Deep Feature Visualization for Explainable Face Recognition
Zewei Xu
Yuhang Lu
Touradj Ebrahimi
FAttCVBM
53
9
0
01 Jun 2023
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map
Yuguang Yang
Runtang Guo
Shen-Te Wu
Yimi Wang
Juan Zhang
Xuan Gong
Baochang Zhang
52
0
0
27 May 2023
Causal Analysis for Robust Interpretability of Neural Networks
Causal Analysis for Robust Interpretability of Neural Networks
Ola Ahmad
Nicolas Béreux
Loïc Baret
V. Hashemi
Freddy Lecue
CML
84
4
0
15 May 2023
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World
  Computer Vision Application
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application
Sunnie S. Y. Kim
E. A. Watkins
Olga Russakovsky
Ruth C. Fong
Andrés Monroy-Hernández
90
29
0
15 May 2023
Towards Visual Saliency Explanations of Face Verification
Towards Visual Saliency Explanations of Face Verification
Yuhang Lu
Zewei Xu
Touradj Ebrahimi
FAttXAICVBM
54
10
0
15 May 2023
Explanation of Face Recognition via Saliency Maps
Explanation of Face Recognition via Saliency Maps
Yuhang Lu
Touradj Ebrahimi
XAICVBM
27
3
0
12 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion?
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
89
5
0
30 Mar 2023
UFO: A unified method for controlling Understandability and Faithfulness
  Objectives in concept-based explanations for CNNs
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs
V. V. Ramaswamy
Sunnie S. Y. Kim
Ruth C. Fong
Olga Russakovsky
58
0
0
27 Mar 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: Learning Explainable Univariate Rules with Neural Networks
Çağlar Aytekin
FAtt
57
0
0
27 Mar 2023
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis
  Using Indicator Localization and Self-Supervised Learning
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning
Ruitong Sun
Mohammad Rostami
43
2
0
26 Mar 2023
High Accurate and Explainable Multi-Pill Detection Framework with Graph
  Neural Network-Assisted Multimodal Data Fusion
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion
Anh Duy Nguyen
H. Pham
Huynh Thanh Trung
Quoc Viet Hung Nguyen
Thao Nguyen Truong
Phi Le Nguyen
MedIm
55
6
0
17 Mar 2023
The Generalizability of Explanations
The Generalizability of Explanations
Hanxiao Tan
FAtt
47
1
0
23 Feb 2023
Towards a Deeper Understanding of Concept Bottleneck Models Through
  End-to-End Explanation
Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
Jack Furby
Daniel Cunnington
Dave Braines
Alun D. Preece
68
6
0
07 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
104
3
0
07 Feb 2023
Rationalizing Predictions by Adversarial Information Calibration
Rationalizing Predictions by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
59
6
0
15 Jan 2023
Comparing the Decision-Making Mechanisms by Transformers and CNNs via
  Explanation Methods
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods
Ming-Xiu Jiang
Saeed Khorram
Li Fuxin
FAtt
86
11
0
13 Dec 2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker
  Activation Map
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map
P. Zang
T. Hormel
Jie Wang
Yukun Guo
Steven T. Bailey
C. Flaxel
David Huang
T. Hwang
Yali Jia
MedIm
62
8
0
13 Dec 2022
Interactive Visual Feature Search
Interactive Visual Feature Search
Devon Ulrich
Ruth C. Fong
FAtt
102
0
0
28 Nov 2022
Evaluating Feature Attribution Methods for Electrocardiogram
Evaluating Feature Attribution Methods for Electrocardiogram
J. Suh
Jimyeong Kim
Euna Jung
Wonjong Rhee
FAtt
45
2
0
23 Nov 2022
Shortcomings of Top-Down Randomization-Based Sanity Checks for
  Evaluations of Deep Neural Network Explanations
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Alexander Binder
Leander Weber
Sebastian Lapuschkin
G. Montavon
Klaus-Robert Muller
Wojciech Samek
FAttAAML
63
23
0
22 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
70
3
0
15 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAIFAttAAML
82
4
0
09 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
60
22
0
09 Nov 2022
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