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Learning Deep Features for Discriminative Localization

Learning Deep Features for Discriminative Localization

14 December 2015
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
    SSL
    SSeg
    FAtt
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Papers citing "Learning Deep Features for Discriminative Localization"

50 / 1,391 papers shown
Title
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
100
0
0
14 Sep 2024
iSeg: An Iterative Refinement-based Framework for Training-free
  Segmentation
iSeg: An Iterative Refinement-based Framework for Training-free Segmentation
Lin Sun
Jiale Cao
J. Xie
Fahad Shahbaz Khan
Yanwei Pang
DiffM
48
1
0
05 Sep 2024
Interpreting Outliers in Time Series Data through Decoding Autoencoder
Interpreting Outliers in Time Series Data through Decoding Autoencoder
Patrick Knab
Sascha Marton
Christian Bartelt
Robert Fuder
29
1
0
03 Sep 2024
Learning to Discover Forgery Cues for Face Forgery Detection
Learning to Discover Forgery Cues for Face Forgery Detection
Jiahe Tian
Peng-Wen Chen
Cai Yu
Xiaomeng Fu
Xi Wang
Jiao Dai
Jizhong Han
CVBM
AAML
45
6
0
02 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
85
28
0
30 Aug 2024
Human-inspired Explanations for Vision Transformers and Convolutional
  Neural Networks
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks
Mahadev Prasad Panda
Matteo Tiezzi
Martina Vilas
Gemma Roig
Bjoern M. Eskofier
Dario Zanca
ViT
AAML
46
1
0
04 Aug 2024
A Weakly Supervised and Globally Explainable Learning Framework for
  Brain Tumor Segmentation
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation
Andrea Failla
Salvatore Citraro
Xiaoxi He
Yi-Lun Pan
Yunpeng Cai
MedIm
36
4
0
02 Aug 2024
Interpreting Low-level Vision Models with Causal Effect Maps
Interpreting Low-level Vision Models with Causal Effect Maps
Jinfan Hu
Jinjin Gu
Shiyao Yu
Fanghua Yu
Zheyuan Li
Zhiyuan You
Chaochao Lu
Chao Dong
CML
55
2
0
29 Jul 2024
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
FAtt
55
3
0
27 Jul 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image
  Classification Tasks
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour
Gregory Kondas
Ella Kazerooni
Michael Sjoding
David Fouhey
Jenna Wiens
FAtt
DiffM
47
1
0
19 Jul 2024
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
Youssef Doulfoukar
Laurent Mertens
Joost Vennekens
FAtt
29
0
0
19 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
Junseo Park
Hyeryung Jang
81
0
0
17 Jul 2024
Enhancing Weakly-Supervised Histopathology Image Segmentation with
  Knowledge Distillation on MIL-Based Pseudo-Labels
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels
Yinsheng He
Xingyu Li
Roger J. Zemp
VLM
53
0
0
14 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base
  Models for Vision Tasks
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang
S. Nirjon
34
0
0
13 Jul 2024
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language
  Guidance
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance
Xiaoxu Xu
Yitian Yuan
Jinlong Li
Qiudan Zhang
Zequn Jie
Lin Ma
Hao Tang
N. Sebe
Xu Wang
43
2
0
13 Jul 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
CVBM
FAtt
XAI
52
3
0
08 Jul 2024
Learning Interpretable Differentiable Logic Networks
Learning Interpretable Differentiable Logic Networks
Chang Yue
N. Jha
NAI
AI4CE
29
0
0
04 Jul 2024
Integrated feature analysis for deep learning interpretation and class
  activation maps
Integrated feature analysis for deep learning interpretation and class activation maps
Yanli Li
Tahereh Hassanzadeh
D. Shamonin
Monique Reijnierse
A. H. V. D. H. Mil
B. Stoel
48
0
0
01 Jul 2024
Learning Granularity-Aware Affordances from Human-Object Interaction for
  Tool-Based Functional Grasping in Dexterous Robotics
Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Grasping in Dexterous Robotics
Fan Yang
Wenrui Chen
Kailun Yang
Haoran Lin
DongSheng Luo
Conghui Tang
Zhiyong Li
Yaonan Wang
83
5
0
30 Jun 2024
Clinically inspired enhance Explainability and Interpretability of an AI-Tool for BCC diagnosis based on expert annotation
Clinically inspired enhance Explainability and Interpretability of an AI-Tool for BCC diagnosis based on expert annotation
Iván Matas
Carmen Serrano
Francisca Silva
Amalia Serrano
Tomás Toledo-Pastrana
Begoña Acha
30
0
0
27 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Charlotte Beylier
Simon M. Hofmann
Nico Scherf
26
0
0
20 Jun 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation
  Methods in Vision Transformers
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers
Lokesh Badisa
Sumohana S. Channappayya
52
0
0
17 Jun 2024
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic
  Segmentation
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Siyue Yu
Yunchao Wei
Yao Zhao
Jimin Xiao
VLM
44
8
0
17 Jun 2024
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
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding Dataset
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding Dataset
Abdelrahman Abdallah
Mahmoud Abdalla
M. Kasem
Mohamed Mahmoud
Ibrahim Abdelhalim
Mohamed Elkasaby
Yasser Elbendary
Adam Jatowt
44
0
0
06 Jun 2024
Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in
  Robotic Intercostal Ultrasound Imaging
Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging
Zhongliang Jiang
Yunfeng Kang
Yuan Bi
Xuesong Li
Chenyang Li
Nassir Navab
35
4
0
06 Jun 2024
Progressive Confident Masking Attention Network for Audio-Visual Segmentation
Progressive Confident Masking Attention Network for Audio-Visual Segmentation
Yuxuan Wang
Feng Dong
Jinchao Zhu
Shuyue Zhu
VOS
61
0
0
04 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan
Penghang Yu
Zhiyi Tan
Bing-Kun Bao
Guanming Lu
44
1
0
01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks
CONFINE: Conformal Prediction for Interpretable Neural Networks
Linhui Huang
S. Lala
N. Jha
71
2
0
01 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
65
3
0
23 May 2024
Infinite-Dimensional Feature Interaction
Infinite-Dimensional Feature Interaction
Chenhui Xu
Fuxun Yu
Maoliang Li
Zihao Zheng
Zirui Xu
Jinjun Xiong
Xiang Chen
47
1
0
22 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang
Grazziela Figueredo
Ruizhe Li
W. Zhang
Weitong Chen
Xin Chen
MedIm
ViT
52
2
0
21 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Becková
Stefan Pócos
Giulia Belgiovine
Marco Matarese
A. Sciutti
Carlo Mazzola
Carlo Mazzola
44
0
0
20 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
58
1
0
20 May 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing
Evaluating Saliency Explanations in NLP by Crowdsourcing
Xiaotian Lu
Jiyi Li
Zhen Wan
Xiaofeng Lin
Koh Takeuchi
Hisashi Kashima
XAI
FAtt
LRM
37
1
0
17 May 2024
Tackling Distribution Shifts in Task-Oriented Communication with
  Information Bottleneck
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
Hongru Li
Jiawei Shao
Hengtao He
Shenghui Song
Jun Zhang
Khaled B. Letaief
OOD
45
5
0
15 May 2024
Proportion Estimation by Masked Learning from Label Proportion
Proportion Estimation by Masked Learning from Label Proportion
Takumi Okuo
Kazuya Nishimura
Hiroaki Ito
Kazuhiro Terada
Akihiko Yoshizawa
Ryoma Bise
39
2
0
08 May 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for
  Post-hoc Explainability of CNN-based Image Classification
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi
Antonio De Santis
Andrea Tocchetti
Marco Brambilla
MILM
FAtt
32
1
0
06 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
68
5
0
02 May 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi
C. Militello
Calogero Zarcaro
T. Bartolotta
Salvatore Gaglio
Salvatore Vitabile
31
1
0
26 Apr 2024
Open-Set Video-based Facial Expression Recognition with Human
  Expression-sensitive Prompting
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting
Yuanyuan Liu
Yuxuan Huang
Shuyang Liu
Yibing Zhan
Zijing Chen
Zhe Chen
VLM
57
1
0
26 Apr 2024
Made to Order: Discovering monotonic temporal changes via
  self-supervised video ordering
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering
Charig Yang
Weidi Xie
Andrew Zisserman
47
2
0
25 Apr 2024
A Learning Paradigm for Interpretable Gradients
A Learning Paradigm for Interpretable Gradients
Felipe Figueroa
Hanwei Zhang
R. Sicre
Yannis Avrithis
Stéphane Ayache
FAtt
31
0
0
23 Apr 2024
Distilled Datamodel with Reverse Gradient Matching
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
55
3
0
22 Apr 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
Payal Varshney
Adriano Lucieri
Christoph Balada
Andreas Dengel
Sheraz Ahmed
MedIm
DiffM
58
4
0
16 Apr 2024
Tackling Ambiguity from Perspective of Uncertainty Inference and
  Affinity Diversification for Weakly Supervised Semantic Segmentation
Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation
Zhiwei Yang
Yucong Meng
Kexue Fu
Shuo Wang
Zhijian Song
39
4
0
12 Apr 2024
Comparison of decision trees with Local Interpretable Model-Agnostic
  Explanations (LIME) technique and multi-linear regression for explaining
  support vector regression model in terms of root mean square error (RMSE)
  values
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values
Amit Thombre
FAtt
21
1
0
10 Apr 2024
CAM-Based Methods Can See through Walls
CAM-Based Methods Can See through Walls
Magamed Taimeskhanov
R. Sicre
Damien Garreau
28
1
0
02 Apr 2024
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for
  Schizophrenia Diagnosis
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis
Ziyu Zhou
Anton Orlichenko
Gang Qu
Z. Fu
Vince D. Calhoun
Zhengming Ding
Yu-Ping Wang
34
2
0
29 Mar 2024
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