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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
Universal Adversarial Attack on Attention and the Resulting Dataset
  DAmageNet
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
AAML
121
105
0
16 Jan 2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a
  Smartphone Camera
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Yuan Liang
Hsuan-Wei Fan
Zhujun Fang
L. Miao
Wen Li
Xuan Zhang
Weibin Sun
Kun Wang
Lei He
Xiang Ánthony' Chen
59
37
0
16 Jan 2020
Making deep neural networks right for the right scientific reasons by
  interacting with their explanations
Making deep neural networks right for the right scientific reasons by interacting with their explanations
P. Schramowski
Wolfgang Stammer
Stefano Teso
Anna Brugger
Xiaoting Shao
Hans-Georg Luigs
Anne-Katrin Mahlein
Kristian Kersting
162
214
0
15 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field
Extending Class Activation Mapping Using Gaussian Receptive Field
Bum Jun Kim
Gyogwon Koo
Hyeyeon Choi
Sang Woo Kim
38
7
0
15 Jan 2020
GridMask Data Augmentation
GridMask Data Augmentation
Pengguang Chen
Shu Liu
Hengshuang Zhao
Xingquan Wang
Jiaya Jia
111
312
0
13 Jan 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional
  Connectivity Analysis
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim
J. C. Ye
AI4CEGNN
93
134
0
10 Jan 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
78
109
0
09 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAMLAI4CE
96
318
0
08 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
146
734
0
08 Jan 2020
Visual Machine Learning: Insight through Eigenvectors, Chladni patterns
  and community detection in 2D particulate structures
Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures
R. Kishore
S. Swayamjyoti
Shreeja Das
Ajay K. Gogineni
Z. Nussinov
Dmitry Solenov
K. Sahu
8
3
0
02 Jan 2020
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
Olga Zatsarynna
Johann Sawatzky
Juergen Gall
104
1
0
30 Dec 2019
Learn to Segment Retinal Lesions and Beyond
Learn to Segment Retinal Lesions and Beyond
Qijie Wei
Xirong Li
Weihong Yu
Xiao Zhang
Yongpeng Zhang
...
Bin Mo
Di Gong
N. Chen
Dayong Ding
You-xin Chen
MedIm
126
48
0
25 Dec 2019
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
93
101
0
24 Dec 2019
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
234
991
0
23 Dec 2019
A Multimodal Target-Source Classifier with Attention Branches to
  Understand Ambiguous Instructions for Fetching Daily Objects
A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects
A. Magassouba
K. Sugiura
Hisashi Kawai
81
9
0
23 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Christoph Mayer
M. Paul
Radu Timofte
96
12
0
22 Dec 2019
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
145
193
0
21 Dec 2019
When Explanations Lie: Why Many Modified BP Attributions Fail
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt
Maximilian Granz
Tim Landgraf
BDLFAttXAI
115
132
0
20 Dec 2019
Segmentations-Leak: Membership Inference Attacks and Defenses in
  Semantic Image Segmentation
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
Yang He
Shadi Rahimian
Bernt Schiele
Mario Fritz
MIACV
92
52
0
20 Dec 2019
Understanding Deep Neural Network Predictions for Medical Imaging
  Applications
Understanding Deep Neural Network Predictions for Medical Imaging Applications
B. Narayanan
Manawaduge Supun De Silva
R. Hardie
Nathaniel K. Kueterman
Reda Almahdi Ali Ali
MedIm
21
18
0
20 Dec 2019
Explaining Classifiers using Adversarial Perturbations on the Perceptual
  Ball
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball
Andrew Elliott
Stephen Law
Chris Russell
AAML
55
4
0
19 Dec 2019
Semantic Segmentation from Remote Sensor Data and the Exploitation of
  Latent Learning for Classification of Auxiliary Tasks
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks
B. Chatterjee
Charalambos (Charis) Poullis
SSeg
33
17
0
19 Dec 2019
AANet: Attribute Attention Network for Person Re-Identifications
AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay
Sharmili Roy
Kim-Hui Yap
3DPC
123
307
0
19 Dec 2019
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis
  Segmentation
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
Darvin Yi
E. Grøvik
Michael Iv
E. Tong
K. Emblem
...
A. Latysheva
K. Jacobsen
Å. Helland
Greg Zaharchuk
D. Rubin
OOD
33
12
0
18 Dec 2019
Towards Robust Learning with Different Label Noise Distributions
Towards Robust Learning with Different Label Noise Distributions
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
55
25
0
18 Dec 2019
Iterative and Adaptive Sampling with Spatial Attention for Black-Box
  Model Explanations
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
Bhavan Kumar Vasu
Chengjiang Long
FAtt
43
11
0
18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain
  Randomisation
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai
Kai Arulkumaran
Tamara Gerbert
Samyakh Tukra
Feryal M. P. Behbahani
Anil Anthony Bharath
92
28
0
18 Dec 2019
AeroRIT: A New Scene for Hyperspectral Image Analysis
AeroRIT: A New Scene for Hyperspectral Image Analysis
Aneesh Rangnekar
Nilay Mokashi
Emmett Ientilucci
Christopher Kanan
Matthew J. Hoffman
SSeg
80
37
0
17 Dec 2019
CAG: A Real-time Low-cost Enhanced-robustness High-transferability
  Content-aware Adversarial Attack Generator
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
Huy Phan
Yi Xie
Siyu Liao
Jie Chen
Bo Yuan
AAML
79
20
0
16 Dec 2019
Mimetics: Towards Understanding Human Actions Out of Context
Mimetics: Towards Understanding Human Actions Out of Context
Philippe Weinzaepfel
Grégory Rogez
101
72
0
16 Dec 2019
Fine-grained Recognition: Accounting for Subtle Differences between
  Similar Classes
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
Guolei Sun
Hisham Cholakkal
Salman Khan
Fahad Shahbaz Khan
Ling Shao
101
123
0
14 Dec 2019
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
128
14
0
13 Dec 2019
Towards Partial Supervision for Generic Object Counting in Natural
  Scenes
Towards Partial Supervision for Generic Object Counting in Natural Scenes
Hisham Cholakkal
Guolei Sun
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Luc Van Gool
74
13
0
13 Dec 2019
Multi-level Similarity Learning for Low-Shot Recognition
Multi-level Similarity Learning for Low-Shot Recognition
Hongwei Xv
Changrui Chen
Junyu Dong
Shu Zhang
Qiong Li
30
1
0
13 Dec 2019
Identity Preserve Transform: Understand What Activity Classification
  Models Have Learnt
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Jialing Lyu
Weichao Qiu
Xinyue Wei
Yi Zhang
Alan Yuille
Zhengjun Zha
VLM
51
3
0
13 Dec 2019
An Efficient Explorative Sampling Considering the Generative Boundaries
  of Deep Generative Neural Networks
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
Giyoung Jeon
Haedong Jeong
Jaesik Choi
42
13
0
12 Dec 2019
Zooming into Face Forensics: A Pixel-level Analysis
Zooming into Face Forensics: A Pixel-level Analysis
Jia Li
T. Shen
Wei Zhang
Hui Ren
Dan Zeng
Tao Mei
CVBM
65
17
0
12 Dec 2019
Learning to Model Aspects of Hearing Perception Using Neural Loss
  Functions
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions
Prateek Verma
J. Berger
AAML
46
3
0
11 Dec 2019
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action
  Recognition
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi
Chen Gao
Joseph C.E. Messou
Jia-Bin Huang
145
182
0
11 Dec 2019
Transparent Classification with Multilayer Logical Perceptrons and
  Random Binarization
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
52
30
0
10 Dec 2019
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained
  Lesion Synthesis on Diabetic Retinopathy Images
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
Yi Zhou
Boyang Wang
Xiaodong He
Shanshan Cui
Ling Shao
GANMedIm
56
93
0
10 Dec 2019
WCE Polyp Detection with Triplet based Embeddings
WCE Polyp Detection with Triplet based Embeddings
Pablo Laiz
Jordi Vitrià
Hagen Wenzek
C. Malagelada
F. Azpiroz
Santi Seguí
MedIm
56
21
0
10 Dec 2019
Cascaded Structure Tensor Framework for Robust Identification of Heavily
  Occluded Baggage Items from Multi-Vendor X-ray Scans
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from Multi-Vendor X-ray Scans
Taimur Hassan
Salman H. Khan
S. Akçay
Bennamoun
Naoufel Werghi
32
8
0
09 Dec 2019
SolarNet: A Deep Learning Framework to Map Solar Power Plants In China
  From Satellite Imagery
SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
Xin Hou
Biao Wang
Wanqi Hu
Lei Yin
Haishan Wu
SSeg
61
40
0
08 Dec 2019
Convolutional STN for Weakly Supervised Object Localization
Convolutional STN for Weakly Supervised Object Localization
Akhil Meethal
M. Pedersoli
Soufiane Belharbi
Eric Granger
WSOL
67
12
0
03 Dec 2019
Multi-Objective Evolutionary Design of Deep Convolutional Neural
  Networks for Image Classification
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
Zhichao Lu
Ian Whalen
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
Vishnu Boddeti
79
11
0
03 Dec 2019
A Step Towards Exposing Bias in Trained Deep Convolutional Neural
  Network Models
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
Daniel Omeiza
FAtt
23
0
0
03 Dec 2019
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical
  Data
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data
N. Vogt
20
6
0
02 Dec 2019
Interpreting Deep Learning Features for Myoelectric Control: A
  Comparison with Handcrafted Features
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features
Ulysse Côté-Allard
Evan Campbell
A. Phinyomark
François Laviolette
Benoit Gosselin
Erik J. Scheme
55
95
0
30 Nov 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment
Attributional Robustness Training using Input-Gradient Spatial Alignment
M. Singh
Nupur Kumari
Puneet Mangla
Abhishek Sinha
V. Balasubramanian
Balaji Krishnamurthy
OOD
109
10
0
29 Nov 2019
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