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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
    SSLSSegFAtt
ArXiv (abs)PDFHTML

Papers citing "Learning Deep Features for Discriminative Localization"

50 / 3,312 papers shown
Title
Efficient Whole Slide Image Classification through Fisher Vector
  Representation
Efficient Whole Slide Image Classification through Fisher Vector Representation
R. Gupta
Dadi Dharani
Shambhavi Shanker
Amit Sethi
70
0
0
13 Nov 2024
TopoTxR: A topology-guided deep convolutional network for breast
  parenchyma learning on DCE-MRIs
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
Fan Wang
Zhilin Zou
N. Sakla
Luke Partyka
Nil Rawal
...
Wei Zhao
Haibin Ling
Chuan Huang
Prateek Prasanna
Chong Chen
MedIm
81
6
0
05 Nov 2024
An Open API Architecture to Discover the Trustworthy Explanation of
  Cloud AI Services
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services
Zerui Wang
Yan Liu
Jun Huang
90
2
0
05 Nov 2024
Designing a Robust Radiology Report Generation System
Designing a Robust Radiology Report Generation System
Sonit Singh
MedIm
89
1
0
02 Nov 2024
EchoNarrator: Generating natural text explanations for ejection fraction
  predictions
EchoNarrator: Generating natural text explanations for ejection fraction predictions
S. Thomas
Qing Cao
Anna Novikova
Daria Kulikova
Guy Ben-Yosef
82
2
0
31 Oct 2024
CNN Explainability with Multivector Tucker Saliency Maps for
  Self-Supervised Models
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
Aymene Mohammed Bouayed
Samuel Deslauriers-Gauthier
Adrian Iaccovelli
D. Naccache
76
0
0
30 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
Hichem Debbi
CMLAAML
77
1
0
29 Oct 2024
Towards Multi-dimensional Explanation Alignment for Medical
  Classification
Towards Multi-dimensional Explanation Alignment for Medical Classification
Lijie Hu
Songning Lai
Wenshuo Chen
Hongru Xiao
Hongbin Lin
Lu Yu
Jingfeng Zhang
Di Wang
74
2
0
28 Oct 2024
Unlocking Comics: The AI4VA Dataset for Visual Understanding
Unlocking Comics: The AI4VA Dataset for Visual Understanding
Peter Grönquist
Deblina Bhattacharjee
Bahar Aydemir
Baran Ozaydin
Tong Zhang
Mathieu Salzmann
Sabine Süsstrunk
31
1
0
27 Oct 2024
Rethinking Positive Pairs in Contrastive Learning
Rethinking Positive Pairs in Contrastive Learning
Jiantao Wu
Shentong Mo
Zhenhua Feng
Sara Atito
Josef Kitler
Muhammad Awais
SSLVLM
134
3
0
23 Oct 2024
Fire and Smoke Detection with Burning Intensity Representation
Fire and Smoke Detection with Burning Intensity Representation
Xiaoyi Han
Yanfei Wu
Nan Pu
Zunlei Feng
Qifei Zhang
Yijun Bei
Lechao Cheng
73
1
0
22 Oct 2024
Frontiers in Intelligent Colonoscopy
Frontiers in Intelligent Colonoscopy
Ge-Peng Ji
Jingyi Liu
Peng Xu
Nick Barnes
Fahad Shahbaz Khan
Salman Khan
Deng-Ping Fan
127
5
0
22 Oct 2024
Training Better Deep Learning Models Using Human Saliency
Training Better Deep Learning Models Using Human Saliency
Aidan Boyd
Patrick J. Tinsley
Kevin W. Bowyer
A. Czajka
78
0
0
21 Oct 2024
Increasing Interpretability of Neural Networks By Approximating Human
  Visual Saliency
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency
Aidan Boyd
M. Trabelsi
H. Uzunalioglu
Dan Kushnir
FAtt
92
0
0
21 Oct 2024
Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
Yan Feng
Alexander Carballo
K. Takeda
ViT
74
0
0
16 Oct 2024
Explainable AI Methods for Multi-Omics Analysis: A Survey
Explainable AI Methods for Multi-Omics Analysis: A Survey
Ahmad Hussein
Mukesh Prasad
Ali Braytee
SyDa
30
1
0
15 Oct 2024
Emerging Pixel Grounding in Large Multimodal Models Without Grounding
  Supervision
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision
Shengcao Cao
Liang-Yan Gui
Yu-Xiong Wang
85
3
0
10 Oct 2024
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic
  Segmentation
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan
Wei-Nan Gao
Shan Liu
Ge Li
68
2
0
10 Oct 2024
MetaDD: Boosting Dataset Distillation with Neural Network
  Architecture-Invariant Generalization
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization
Yunlong Zhao
Xiaoheng Deng
Xiu Su
Hongyan Xu
Xiuxing Li
Yijing Liu
Shan You
FedMLDD
82
1
0
07 Oct 2024
Adaptive Masking Enhances Visual Grounding
Adaptive Masking Enhances Visual Grounding
Sen Jia
Lei Li
75
0
0
04 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
120
5
0
03 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng
Farhad Shirani
Zhuomin Chen
Chaohao Lin
Wei Cheng
Wenbo Guo
Dongsheng Luo
AAML
133
0
0
03 Oct 2024
Local-to-Global Self-Supervised Representation Learning for Diabetic
  Retinopathy Grading
Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading
Mostafa Hajighasemloua
Samad Sheikhaei
Hamid Soltanian-Zadeha
65
0
0
01 Oct 2024
Spatial Action Unit Cues for Interpretable Deep Facial Expression
  Recognition
Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition
Soufiane Belharbi
M. Pedersoli
Alessandro Lameiras Koerich
Simon L Bacon
Eric Granger
60
1
0
01 Oct 2024
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using
  Kernel PCA
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA
Sachin Karmani
Thanushon Sivakaran
Gaurav Prasad
Mehmet Ali
Wenbo Yang
Sheyang Tang
FAtt
105
4
0
30 Sep 2024
Sufficient and Necessary Explanations (and What Lies in Between)
Sufficient and Necessary Explanations (and What Lies in Between)
Beepul Bharti
Paul H. Yi
Jeremias Sulam
XAIFAtt
126
2
0
30 Sep 2024
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Tillmann Rheude
Andreas Wirtz
Arjan Kuijper
Stefan Wesarg
60
1
0
30 Sep 2024
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place
  Recognition
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition
Ahmad Khaliq
Ming Xu
Stephen Hausler
Michael Milford
Sourav Garg
CoGe
66
4
0
28 Sep 2024
YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for
  Pediatric Wrist Fracture Detection
YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection
Rui-Yang Ju
Chun-Tse Chien
Jen-Shiun Chiang
56
2
0
27 Sep 2024
PCEvE: Part Contribution Evaluation Based Model Explanation for Human
  Figure Drawing Assessment and Beyond
PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond
Jongseo Lee
Geo Ahn
Seong Tae Kim
Jinwoo Choi
69
0
0
26 Sep 2024
Explanation Bottleneck Models
Explanation Bottleneck Models
Shinýa Yamaguchi
Kosuke Nishida
LRMBDL
134
2
0
26 Sep 2024
Unsupervised Attention Regularization Based Domain Adaptation for Oracle
  Character Recognition
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
Mei Wang
Weihong Deng
Jiani Hu
Sen Su
79
0
0
24 Sep 2024
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic
  Segmentation
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation
Soojin Jang
Jungmin Yun
Junehyoung Kwon
Eunju Lee
Youngbin Kim
104
3
0
24 Sep 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation
  of Visual-knowledge-linguistic Features
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
Xin Wei
Yaling Tao
Changde Du
Gangming Zhao
Yizhou Yu
Jinpeng Li
97
0
0
24 Sep 2024
Region Mixup
Region Mixup
Saptarshi Saha
Utpal Garain
33
0
0
23 Sep 2024
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision
  Language Models
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models
Nam Hyeon-Woo
Moon Ye-Bin
Wonseok Choi
Lee Hyun
Tae-Hyun Oh
CoGe
68
3
0
23 Sep 2024
SOS: Segment Object System for Open-World Instance Segmentation With
  Object Priors
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms
Tim Rolff
Maris Hillemann
Robert Johanson
Simone Frintrop
VLM
85
1
0
22 Sep 2024
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy:
  eye-tracking study
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
T. Chanda
Sarah Haggenmueller
Tabea-Clara Bucher
Tim Holland-Letz
Harald Kittler
...
Martin Jansen
Juliane Wacker
Joerg Wacker
Reader Study Consortium
T. Brinker
45
1
0
20 Sep 2024
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation
Yanlin Jin
Rui-Yang Ju
Haojun Liu
Yuzhong Zhong
106
0
0
18 Sep 2024
Genetic Information Analysis of Age-Related Macular Degeneration Fellow
  Eye Using Multi-Modal Selective ViT
Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT
Yoichi Furukawa
Satoshi Kamiya
Yoichi Sakurada
Kenji Kashiwagi
Kazuhiro Hotta
55
0
0
17 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable
  Approach
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach
Debarpan Bhattacharya
A. H. Poorjam
Deepak Mittal
Sriram Ganapathy
61
0
0
17 Sep 2024
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian
  Action Prediction
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction
Yan Feng
Alexander Carballo
Keisuke Fujii
Robin Karlsson
Ming Ding
K. Takeda
62
0
0
14 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
292
0
0
14 Sep 2024
INTRA: Interaction Relationship-aware Weakly Supervised Affordance
  Grounding
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
Ji Ha Jang
H. Seo
Se Young Chun
93
3
0
10 Sep 2024
Top-GAP: Integrating Size Priors in CNNs for more Interpretability,
  Robustness, and Bias Mitigation
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation
Lars Nieradzik
Henrike Stephani
Janis Keuper
FAttAAML
65
0
0
07 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
102
1
0
05 Sep 2024
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through
  Feature Magnitude Regularization
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
Avraham Chapman
Haiming Xu
Lingqiao Liu
82
0
0
03 Sep 2024
Interpreting Outliers in Time Series Data through Decoding Autoencoder
Interpreting Outliers in Time Series Data through Decoding Autoencoder
Katharina Prasse
Sascha Marton
Christian Bartelt
Robert Fuder
81
1
0
03 Sep 2024
Semantic Segmentation from Image Labels by Reconstruction from
  Structured Decomposition
Semantic Segmentation from Image Labels by Reconstruction from Structured Decomposition
Xuanrui Zeng
36
0
0
02 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
CVBMAAML
96
9
0
02 Sep 2024
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