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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
Compositional Few-Shot Class-Incremental Learning
Compositional Few-Shot Class-Incremental Learning
Yixiong Zou
Shanghang Zhang
Haichen Zhou
Yuhua Li
Ruixuan Li
CLL
73
9
0
27 May 2024
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for
  Continual Test Time Adaptation
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
Rongyu Zhang
Aosong Cheng
Yulin Luo
Gaole Dai
Huanrui Yang
...
Ran Xu
Li Du
Yuan Du
Yanbing Jiang
Shanghang Zhang
MoETTA
95
6
0
26 May 2024
Explainable Molecular Property Prediction: Aligning Chemical Concepts
  with Predictions via Language Models
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
Zhenzhong Wang
Zehui Lin
Wanyu Lin
Ming Yang
Minggang Zeng
Kay Chen Tan
61
5
0
25 May 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
129
4
0
23 May 2024
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
Mariusz Wi'sniewski
Loris Giulivi
Giacomo Boracchi
78
1
0
23 May 2024
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using
  WordNet
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
Loris Giulivi
Giacomo Boracchi
67
2
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
106
1
0
22 May 2024
Part-based Quantitative Analysis for Heatmaps
Part-based Quantitative Analysis for Heatmaps
Osman Tursun
Sinan Kalkan
Simon Denman
Sridha Sridharan
Clinton Fookes
85
0
0
22 May 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D
  Detectors
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
Shuai Liu
Boyang Li
Zhiyu Fang
Mingyue Cui
Kai Huang
67
1
0
21 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
Wei Emma Zhang
Weitong Chen
Xin Chen
MedImViT
117
2
0
21 May 2024
Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP
  for CNN Interpretability
Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability
Vaibhav Dhore
Achintya Bhat
Viraj Nerlekar
Kashyap Chavhan
Aniket Umare
FAtt
43
6
0
20 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
134
0
0
20 May 2024
Improving the Explain-Any-Concept by Introducing Nonlinearity to the
  Trainable Surrogate Model
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model
Mounes Zaval
Sedat Ozer
LRM
88
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
98
1
0
20 May 2024
Liver Fat Quantification Network with Body Shape
Liver Fat Quantification Network with Body Shape
Qiyue Wang
Wu Xue
Xiaoke Zhang
Fang Jin
James K. Hahn
MedIm
41
0
0
18 May 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model
  Stealing
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
Yunlong Zhao
Xiaoheng Deng
Yijing Liu
Xin-jun Pei
Jiazhi Xia
Wei Chen
AAML
48
3
0
18 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
XAIFAttLRM
70
1
0
17 May 2024
Faithful Attention Explainer: Verbalizing Decisions Based on
  Discriminative Features
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features
Yao Rong
David Scheerer
Enkelejda Kasneci
80
0
0
16 May 2024
Parallel Backpropagation for Shared-Feature Visualization
Parallel Backpropagation for Shared-Feature Visualization
Alexander Lappe
Anna Bognár
Ghazaleh Ghamkhari Nejad
A. Mukovskiy
Lucas M. Martini
Martin A. Giese
Rufin Vogels
FAtt
55
1
0
16 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
96
5
0
15 May 2024
Explainable AI for Ship Collision Avoidance: Decoding Decision-Making
  Processes and Behavioral Intentions
Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
Hitoshi Yoshioka
Hirotada Hashimoto
31
1
0
15 May 2024
Deep Learning in Earthquake Engineering: A Comprehensive Review
Deep Learning in Earthquake Engineering: A Comprehensive Review
Yazhou Xie
AI4CE
110
5
0
15 May 2024
OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality
OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality
Chao Fan
Saihui Hou
Junhao Liang
Chuanfu Shen
Jingzhe Ma
Dongyang Jin
Yongzhen Huang
Shiqi Yu
111
3
0
15 May 2024
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal
  Foundation Models: An End-to-End Approach
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach
Elham Ravanbakhsh
Cheng Niu
Yongqing Liang
J. Ramanujam
Xin Li
VLM
133
0
0
10 May 2024
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural
  Collapse
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse
Yining Wang
Junjie Sun
Chenyue Wang
Mi Zhang
Min Yang
87
7
0
09 May 2024
Towards a Novel Measure of User Trust in XAI Systems
Towards a Novel Measure of User Trust in XAI Systems
Miquel Miró-Nicolau
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
Adel Ghazel
Maria Gemma Sempere Campello
Juan Antonio Palmer Sancho
55
0
0
09 May 2024
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive
  Learning of Cross-image Contextual Information
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information
Qi Lai
Chi-Man Vong
68
0
0
08 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
111
2
0
08 May 2024
Bridging the Gap Between Saliency Prediction and Image Quality Assessment
Bridging the Gap Between Saliency Prediction and Image Quality Assessment
Kirillov Alexey
Andrey Moskalenko
D. Vatolin
74
0
0
08 May 2024
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive
  Deep Learning Discriminator for Fine-grained Objects
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects
Da Fu
Mingfei Rong
Eun-Hu Kim
Hao Huang
Witold Pedrycz
112
0
0
07 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
MILMFAtt
54
4
0
06 May 2024
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
Ziquan Deng
Xiwei Xuan
Kwan-Liu Ma
Zhaodan Kong
AI4TS
67
0
0
06 May 2024
Region-specific Risk Quantification for Interpretable Prognosis of
  COVID-19
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19
Zhusi Zhong
Jie Li
Zhuoqi Ma
Scott Collins
Harrison X. Bai
Paul J Zhang
Terrance Healey
Xinbo Gao
Michael Atalay
Zhicheng Jiao
42
0
0
05 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
95
10
0
02 May 2024
Multi-view Action Recognition via Directed Gromov-Wasserstein
  Discrepancy
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
Hoang-Quan Nguyen
Thanh-Dat Truong
Khoa Luu
89
1
0
02 May 2024
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of
  Attribution Methods
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attribution Methods
Peiyu Yang
Naveed Akhtar
Jiantong Jiang
Ajmal Mian
XAI
73
2
0
02 May 2024
Reliable or Deceptive? Investigating Gated Features for Smooth Visual
  Explanations in CNNs
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
Soham Mitra
Atri Sukul
Swalpa Kumar Roy
Pravendra Singh
Vinay Kumar Verma
AAMLFAtt
55
0
0
30 Apr 2024
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity
  Mechanism
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanism
Chenqi Guo
Shiwei Zhong
Xiaofeng Liu
Qianli Feng
Yinglong Ma
80
4
0
30 Apr 2024
Source-Free Domain Adaptation of Weakly-Supervised Object Localization
  Models for Histology
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
Alexis Guichemerre
Soufiane Belharbi
Tsiry Mayet
Shakeeb Murtaza
Pourya Shamsolmoali
Luke McCaffrey
Eric Granger
OOD
77
3
0
29 Apr 2024
ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired
  Image Dehazing
ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
Zhongze Wang
Haitao Zhao
Jingchao Peng
Lujian Yao
Kaijie Zhao
80
9
0
27 Apr 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
43
2
0
26 Apr 2024
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular
  data to leverage the potential of convolutional neural networks
LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks
Vanesa Gómez-Martínez
F. J. Lara-Abelenda
Pablo Peiro-Corbacho
David Chushig-Muzo
C. Granja
C. Soguero-Ruíz
LMTD
64
2
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
120
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
82
2
0
25 Apr 2024
DP-Net: Learning Discriminative Parts for image recognition
DP-Net: Learning Discriminative Parts for image recognition
R. Sicre
Hanwei Zhang
Julien Dejasmin
Chiheb Daaloul
Stéphane Ayache
Thierry Artières
59
0
0
23 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
61
0
0
23 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition
CA-Stream: Attention-based pooling for interpretable image recognition
Felipe Torres
Hanwei Zhang
R. Sicre
Stéphane Ayache
Yannis Avrithis
84
1
0
23 Apr 2024
Automatic Discovery of Visual Circuits
Automatic Discovery of Visual Circuits
Achyuta Rajaram
Neil Chowdhury
Antonio Torralba
Jacob Andreas
Sarah Schwettmann
GNN
70
4
0
22 Apr 2024
Distilled Datamodel with Reverse Gradient Matching
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
108
3
0
22 Apr 2024
Efficient and Concise Explanations for Object Detection with
  Gaussian-Class Activation Mapping Explainer
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
Quoc Khanh Nguyen
Truong Thanh Hung Nguyen
V. Nguyen
Van Binh Truong
Tuong Phan
Hung Cao
53
7
0
20 Apr 2024
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