ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1512.04150
  4. Cited By
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
Distilling Knowledge from Refinement in Multiple Instance Detection
  Networks
Distilling Knowledge from Refinement in Multiple Instance Detection Networks
Luis Felipe de Araujo Zeni
C. R. Jung
WSOD
31
21
0
23 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural
  Network Attribution
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Gary S. W. Goh
Sebastian Lapuschkin
Leander Weber
Wojciech Samek
Alexander Binder
FAtt
75
35
0
22 Apr 2020
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Manisha Verma
Sudhakar Kumawat
Yuta Nakashima
Shanmuganathan Raman
53
86
0
22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
76
7
0
21 Apr 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
F. Sado
C. K. Loo
W. S. Liew
Matthias Kerzel
S. Wermter
102
52
0
21 Apr 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations
SCOUT: Self-aware Discriminant Counterfactual Explanations
Pei Wang
Nuno Vasconcelos
FAtt
63
83
0
16 Apr 2020
Top-Down Networks: A coarse-to-fine reimagination of CNNs
Top-Down Networks: A coarse-to-fine reimagination of CNNs
Ioannis Lelekas
Nergis Tomen
S. Pintea
Jan van Gemert
29
6
0
16 Apr 2020
Spatially Attentive Output Layer for Image Classification
Spatially Attentive Output Layer for Image Classification
Ildoo Kim
Woonhyuk Baek
Sungwoong Kim
35
25
0
16 Apr 2020
Explaining Regression Based Neural Network Model
Explaining Regression Based Neural Network Model
Mégane Millan
Catherine Achard
FAtt
35
3
0
15 Apr 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
170
56
0
14 Apr 2020
SpeedNet: Learning the Speediness in Videos
SpeedNet: Learning the Speediness in Videos
Sagie Benaim
Ariel Ephrat
Oran Lang
Inbar Mosseri
William T. Freeman
Michael Rubinstein
Michal Irani
Tali Dekel
92
261
0
13 Apr 2020
Regularizing Meta-Learning via Gradient Dropout
Regularizing Meta-Learning via Gradient Dropout
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
71
34
0
13 Apr 2020
Residual Attention U-Net for Automated Multi-Class Segmentation of
  COVID-19 Chest CT Images
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen
Lina Yao
Yu Zhang
67
197
0
12 Apr 2020
When Weak Becomes Strong: Robust Quantification of White Matter
  Hyperintensities in Brain MRI scans
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans
O. Werner
K. V. Wijnen
W. Niessen
M. Groot
Meike W. Vernooij
Florian Dubost
Marleen de Bruijne
18
0
0
12 Apr 2020
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia
  Classification
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
S. Vijayarangan
Balamurali Murugesan
Vignesh Ravichandran
P. PreejithS.
J. Joseph
M. Sivaprakasam
FAtt
46
34
0
11 Apr 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
75
34
0
09 Apr 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
103
632
0
09 Apr 2020
LIAAD: Lightweight Attentive Angular Distillation for Large-scale
  Age-Invariant Face Recognition
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition
Thanh-Dat Truong
C. Duong
Kha Gia Quach
Ngan Le
Tien D. Bui
Khoa Luu
CVBM
31
9
0
09 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer
  Labels
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
Xun Xu
Gim Hee Lee
3DPC
85
93
0
08 Apr 2020
Challenges in Vessel Behavior and Anomaly Detection: From Classical
  Machine Learning to Deep Learning
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
Lucas May Petry
Amílcar Soares Júnior
V. Bogorny
Bruno Brandoli
Stan Matwin
84
27
0
07 Apr 2020
Manifold-driven Attention Maps for Weakly Supervised Segmentation
Manifold-driven Attention Maps for Weakly Supervised Segmentation
V. SukeshAdiga
Jose Dolz
H. Lombaert
39
4
0
07 Apr 2020
When, Where, and What? A New Dataset for Anomaly Detection in Driving
  Videos
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao
Xizi Wang
Mingze Xu
Zelin Pu
E. Atkins
David J. Crandall
93
44
0
06 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
There and Back Again: Revisiting Backpropagation Saliency Methods
Sylvestre-Alvise Rebuffi
Ruth C. Fong
Xu Ji
Andrea Vedaldi
FAttXAI
68
113
0
06 Apr 2020
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Hao Li
Xiaopeng Zhang
H. Xiong
Qi Tian
73
41
0
06 Apr 2020
Feature Quantization Improves GAN Training
Feature Quantization Improves GAN Training
Yang Zhao
Chunyuan Li
Ping Yu
Jianfeng Gao
Changyou Chen
MQ
87
47
0
05 Apr 2020
Neural Architecture Search for Lightweight Non-Local Networks
Neural Architecture Search for Lightweight Non-Local Networks
Yingwei Li
Xiaojie Jin
Jieru Mei
Xiaochen Lian
Linjie Yang
Cihang Xie
Qihang Yu
Yuyin Zhou
S. Bai
Alan Yuille
73
52
0
04 Apr 2020
Group Based Deep Shared Feature Learning for Fine-grained Image
  Classification
Group Based Deep Shared Feature Learning for Fine-grained Image Classification
Xuelu Li
V. Monga
52
11
0
04 Apr 2020
Deep Transfer Learning for Texture Classification in Colorectal Cancer
  Histology
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology
Srinath Jayachandran
Ashlin Ghosh
MedIm
32
8
0
03 Apr 2020
Interpreting Medical Image Classifiers by Optimization Based
  Counterfactual Impact Analysis
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis
David Major
Dimitrios Lenis
M. Wimmer
Gert Sluiter
Astrid Berg
Katja Bühler
FAtt
105
12
0
03 Apr 2020
FairALM: Augmented Lagrangian Method for Training Fair Models with
  Little Regret
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret
Vishnu Suresh Lokhande
A. K. Akash
Sathya Ravi
Vikas Singh
FaML
52
31
0
03 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
72
39
0
01 Apr 2020
Explaining Motion Relevance for Activity Recognition in Video Deep
  Learning Models
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Liam Hiley
Alun D. Preece
Y. Hicks
Supriyo Chakraborty
Prudhvi K. Gurram
Richard J. Tomsett
FAtt
90
15
0
31 Mar 2020
Recognizing Characters in Art History Using Deep Learning
Recognizing Characters in Art History Using Deep Learning
Prathmesh Madhu
Ronak Kosti
Lara Mührenberg
Peter Bell
Andreas Maier
Vincent Christlein
82
27
0
31 Mar 2020
Long Short-Term Relation Networks for Video Action Detection
Long Short-Term Relation Networks for Video Action Detection
Dong Li
Ting Yao
Zhaofan Qiu
Houqiang Li
Tao Mei
60
22
0
31 Mar 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks
MUXConv: Information Multiplexing in Convolutional Neural Networks
Zhichao Lu
Kalyanmoy Deb
Vishnu Boddeti
50
46
0
31 Mar 2020
Architecture Disentanglement for Deep Neural Networks
Architecture Disentanglement for Deep Neural Networks
Jie Hu
Liujuan Cao
QiXiang Ye
Tong Tong
Shengchuan Zhang
Ke Li
Feiyue Huang
Rongrong Ji
Ling Shao
AAML
90
18
0
30 Mar 2020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation
  on Point Clouds
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei
Guosheng Lin
Kim-Hui Yap
Tzu-Yi Hung
Lihua Xie
3DPC
77
136
0
29 Mar 2020
Weakly-Supervised Action Localization by Generative Attention Modeling
Weakly-Supervised Action Localization by Generative Attention Modeling
Baifeng Shi
Qi Dai
Yadong Mu
Jingdong Wang
WSOL
93
150
0
27 Mar 2020
Neural encoding and interpretation for high-level visual cortices based
  on fMRI using image caption features
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
Kai Qiao
Chi Zhang
Jian Chen
Linyuan Wang
Li Tong
Bin Yan
23
3
0
26 Mar 2020
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly
  Supervised Object Detection
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection
Zhonghua Wu
Qingyi Tao
Guosheng Lin
Jianfei Cai
ObjD
70
14
0
22 Mar 2020
Exploring Categorical Regularization for Domain Adaptive Object
  Detection
Exploring Categorical Regularization for Domain Adaptive Object Detection
Chang-Dong Xu
Xingjie Zhao
Xin Jin
Xiu-Shen Wei
OODObjD
223
289
0
20 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
165
736
0
19 Mar 2020
Weakly Supervised PET Tumor Detection Using Class Response
Weakly Supervised PET Tumor Detection Using Class Response
Amine Amyar
R. Modzelewski
P. Vera
V. Morard
S. Ruan
MedIm
54
5
0
18 Mar 2020
Learning to Structure an Image with Few Colors
Learning to Structure an Image with Few Colors
Yunzhong Hou
Liang Zheng
Stephen Gould
MQ
97
20
0
17 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
145
83
0
17 Mar 2020
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image
  Translation via Attribute Gaussian Mixture Modeling
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Yahui Liu
Marco De Nadai
Jian Yao
N. Sebe
Bruno Lepri
Xavier Alameda-Pineda
93
26
0
15 Mar 2020
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly
  Detection
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Guansong Pang
Cheng Yan
Chunhua Shen
Anton Van Den Hengel
Xiao Bai
82
210
0
15 Mar 2020
Measuring and improving the quality of visual explanations
Measuring and improving the quality of visual explanations
Agnieszka Grabska-Barwiñska
XAIFAtt
148
3
0
14 Mar 2020
Explainable Deep Classification Models for Domain Generalization
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino
Sarah Adel Bargal
Riccardo Volpi
M. Sameki
Jianming Zhang
Stan Sclaroff
Vittorio Murino
Kate Saenko
FAtt
70
40
0
13 Mar 2020
Neural Generators of Sparse Local Linear Models for Achieving both
  Accuracy and Interpretability
Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability
Yuya Yoshikawa
Tomoharu Iwata
35
7
0
13 Mar 2020
Previous
123...495051...656667
Next