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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
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep
  Learning on Remotely Sensed Imagery
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery
Hao Sheng
Jeremy Irvin
Sasankh Munukutla
Shenmin Zhang
Christopher Cross
...
Zutao Yang
M. Omara
R. Gautam
R. Jackson
A. Ng
56
17
0
14 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
89
54
0
14 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial
  Intelligence: A Review and Perspective
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
Bao-Gang Hu
Hanbing Qu
AI4CE
110
1
0
12 Nov 2020
Interpretable and synergistic deep learning for visual explanation and
  statistical estimations of segmentation of disease features from medical
  images
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
Sambuddha Ghosal
Pratik Shah
97
7
0
11 Nov 2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
Intentonomy: a Dataset and Study towards Human Intent Understanding
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
51
29
0
11 Nov 2020
DoLFIn: Distributions over Latent Features for Interpretability
DoLFIn: Distributions over Latent Features for Interpretability
Phong Le
Willem H. Zuidema
FAtt
30
0
0
10 Nov 2020
ATCN: Resource-Efficient Processing of Time Series on Edge
ATCN: Resource-Efficient Processing of Time Series on Edge
Mohammadreza Baharani
Hamed Tabkhi
AI4TS
90
1
0
10 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
125
129
0
10 Nov 2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised
  Semantic Segmentation
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
E. Stammes
Tom F. H. Runia
M. Hofmann
Mohsen Ghafoorian
77
10
0
09 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
138
34
0
06 Nov 2020
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image
  Generation
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Zhenxing Zhang
Lambert Schomaker
GAN
67
35
0
05 Nov 2020
Learning and Evaluating Representations for Deep One-class
  Classification
Learning and Evaluating Representations for Deep One-class Classification
Kihyuk Sohn
Chun-Liang Li
Jinsung Yoon
Minho Jin
Tomas Pfister
SSL
179
203
0
04 Nov 2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for
  Explaining Classifiers
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
Rajat Sharma
N. Reddy
V. Kamakshi
N. C. Krishnan
Shweta Jain
FAtt
58
7
0
03 Nov 2020
MACE: Model Agnostic Concept Extractor for Explaining Image
  Classification Networks
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
Ashish Kumar
Karan Sehgal
Prerna Garg
V. Kamakshi
N. C. Krishnan
FAtt
20
10
0
03 Nov 2020
A Two-Stage Approach to Device-Robust Acoustic Scene Classification
A Two-Stage Approach to Device-Robust Acoustic Scene Classification
Hu Hu
Chao-Han Huck Yang
Xianjun Xia
Xue Bai
Xin Tang
...
Yuanjun Zhao
Sabato Marco Siniscalchi
Yannan Wang
Jun Du
Chin-Hui Lee
66
31
0
03 Nov 2020
Parameter Efficient Deep Neural Networks with Bilinear Projections
Parameter Efficient Deep Neural Networks with Bilinear Projections
Litao Yu
Yongsheng Gao
Jun Zhou
Jian Zhang
60
1
0
03 Nov 2020
DeepOpht: Medical Report Generation for Retinal Images via Deep Models
  and Visual Explanation
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
Jia-Hong Huang
Chao-Han Huck Yang
Fangyu Liu
Meng Tian
Yi-Chieh Liu
...
Kang Wang
Hiromasa Morikawa
Hernghua Chang
Jesper N. Tegnér
M. Worring
MedIm
68
48
0
01 Nov 2020
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Maryam Dialameh
A. Hamzeh
Hossein Rahmani
84
3
0
31 Oct 2020
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Sihang Guo
Ruohan Zhang
Bo Liu
Yifeng Zhu
M. Hayhoe
D. Ballard
Peter Stone
OffRL
101
28
0
29 Oct 2020
Attribution Preservation in Network Compression for Reliable Network
  Interpretation
Attribution Preservation in Network Compression for Reliable Network Interpretation
Geondo Park
J. Yang
Sung Ju Hwang
Eunho Yang
57
5
0
28 Oct 2020
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han
Yunhe Wang
Qiulin Zhang
Wei Zhang
Chunjing Xu
Tong Zhang
79
89
0
28 Oct 2020
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Jiaxuan Wang
Jenna Wiens
Scott M. Lundberg
FAtt
129
90
0
27 Oct 2020
RSPNet: Relative Speed Perception for Unsupervised Video Representation
  Learning
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
Peihao Chen
Deng Huang
Dongliang He
Xiang Long
Runhao Zeng
Shilei Wen
Mingkui Tan
Chuang Gan
SSL
73
134
0
27 Oct 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural
  Network for Automatic Speech Recognition
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Pin-Yu Chen
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
FedML
122
128
0
26 Oct 2020
MixNet for Generalized Face Presentation Attack Detection
MixNet for Generalized Face Presentation Attack Detection
Nilay Sanghvi
Sushant Kumar Singh
Akshay Agarwal
Mayank Vatsa
Richa Singh
AAMLCVBM
90
10
0
25 Oct 2020
Neuron Merging: Compensating for Pruned Neurons
Neuron Merging: Compensating for Pruned Neurons
Woojeong Kim
Suhyun Kim
Mincheol Park
Geonseok Jeon
74
33
0
25 Oct 2020
Discriminative feature generation for classification of imbalanced data
Discriminative feature generation for classification of imbalanced data
Sungho Suh
P. Lukowicz
Y. Lee
83
22
0
24 Oct 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object
  Detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
Yang Zou
V. Bhagavatula
Dong Huang
WSOD
94
125
0
22 Oct 2020
Two-Stream Consensus Network for Weakly-Supervised Temporal Action
  Localization
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Yuanhao Zhai
Le Wang
Wei Tang
Qilin Zhang
Junsong Yuan
G. Hua
104
139
0
22 Oct 2020
High resolution weakly supervised localization architectures for medical
  images
High resolution weakly supervised localization architectures for medical images
Konpat Preechakul
S. Sriswasdi
B. Kijsirikul
Ekapol Chuangsuwanich
WSOL
21
3
0
22 Oct 2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
UFO2^22: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
Alex Schwing
Jan Kautz
ObjD
302
38
0
21 Oct 2020
TargetDrop: A Targeted Regularization Method for Convolutional Neural
  Networks
TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks
Hui Zhu
Xiaofang Zhao
66
7
0
21 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
195
179
0
20 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report
  Generation from Medical Images
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina
Pablo Pino
Denis Parra
Alvaro Soto
Cecilia Besa
S. Uribe
Marcelo andía
C. Tejos
Claudia Prieto
Daniel Capurro
MedIm
127
65
0
20 Oct 2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
Yuqian Fu
Li Zhang
Junke Wang
Yanwei Fu
Yu-Gang Jiang
88
99
0
20 Oct 2020
Stronger, Faster and More Explainable: A Graph Convolutional Baseline
  for Skeleton-based Action Recognition
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
Yisheng Song
Zhang Zhang
Caifeng Shan
Liang Wang
185
301
0
20 Oct 2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou
Zizhao Zhang
Han Zhang
Chun-Liang Li
Xiao Bian
Jia-Bin Huang
Tomas Pfister
115
302
0
19 Oct 2020
Weakly-supervised Learning For Catheter Segmentation in 3D Frustum
  Ultrasound
Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound
Hongxu Yang
Caifeng Shan
Alexander F. Kolen
Peter H. N. de With
53
13
0
19 Oct 2020
ERIC: Extracting Relations Inferred from Convolutions
ERIC: Extracting Relations Inferred from Convolutions
Joe Townsend
Theodoros Kasioumis
Hiroya Inakoshi
NAIFAtt
82
16
0
19 Oct 2020
Rotation Invariant Aerial Image Retrieval with Group Convolutional
  Metric Learning
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
Hyunseung Chung
Woo-Jeoung Nam
Seong-Whan Lee
45
3
0
19 Oct 2020
Image-based Automated Species Identification: Can Virtual Data
  Augmentation Overcome Problems of Insufficient Sampling?
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
Morris Klasen
D. Ahrens
J. Eberle
Volker Steinhage
54
20
0
18 Oct 2020
LID 2020: The Learning from Imperfect Data Challenge Results
LID 2020: The Learning from Imperfect Data Challenge Results
Yunchao Wei
Shuai Zheng
Ming-Ming Cheng
Hang Zhao
Liwei Wang
...
Zhendong Wang
Zhenyuan Chen
Chen Gong
Huanqing Yan
Jun He
104
6
0
17 Oct 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
Xiangwei Shi
Seyran Khademi
Yun-qiang Li
Jan van Gemert
VLMWSOL
88
20
0
16 Oct 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable
  Predictions of Clinical Time Series
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
Kristoffer Wickstrøm
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
A. Revhaug
Robert Jenssen
AI4TS
67
34
0
16 Oct 2020
A Generalizable and Accessible Approach to Machine Learning with Global
  Satellite Imagery
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf
J. Proctor
T. Carleton
I. Bolliger
Vaishaal Shankar
Miyabi Ishihara
Benjamin Recht
S. Hsiang
164
128
0
16 Oct 2020
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset
Keshav Bhandari
Mario A. DeLaGarza
Ziliang Zong
Hugo Latapie
Yan Yan
EgoV
90
6
0
15 Oct 2020
Data Valuation for Medical Imaging Using Shapley Value: Application on A
  Large-scale Chest X-ray Dataset
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset
Siyi Tang
Amirata Ghorbani
R. Yamashita
Sameer Rehman
Jared A. Dunnmon
James Zou
D. Rubin
TDI
57
82
0
15 Oct 2020
Aerodynamic Data Predictions Based on Multi-task Learning
Aerodynamic Data Predictions Based on Multi-task Learning
Liwei Hu
Yu Xiang
Jun Zhang
Zifan Shi
Wenzheng Wang
57
12
0
15 Oct 2020
Human-interpretable model explainability on high-dimensional data
Human-interpretable model explainability on high-dimensional data
Damien de Mijolla
Christopher Frye
M. Kunesch
J. Mansir
Ilya Feige
FAtt
54
10
0
14 Oct 2020
Adaptive-Attentive Geolocalization from few queries: a hybrid approach
Adaptive-Attentive Geolocalization from few queries: a hybrid approach
Gabriele Berton
Valerio Paolicelli
Carlo Masone
Barbara Caputo
64
33
0
14 Oct 2020
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