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Top-down Neural Attention by Excitation Backprop

Top-down Neural Attention by Excitation Backprop

1 August 2016
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
ArXiv (abs)PDFHTML

Papers citing "Top-down Neural Attention by Excitation Backprop"

50 / 317 papers shown
Title
Self-Erasing Network for Integral Object Attention
Self-Erasing Network for Integral Object Attention
Qibin Hou
Peng-Tao Jiang
Yunchao Wei
Ming-Ming Cheng
111
280
0
23 Oct 2018
Interpretable Spatio-temporal Attention for Video Action Recognition
Interpretable Spatio-temporal Attention for Video Action Recognition
Lili Meng
Bo Zhao
B. Chang
Gao Huang
Wei Sun
Fred Tung
Leonid Sigal
101
83
0
01 Oct 2018
Faithful Multimodal Explanation for Visual Question Answering
Faithful Multimodal Explanation for Visual Question Answering
Jialin Wu
Raymond J. Mooney
77
91
0
08 Sep 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep
  Learning
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning
Fabian Horst
Sebastian Lapuschkin
Wojciech Samek
K. Müller
W. Schöllhorn
AI4CE
63
213
0
13 Aug 2018
Weakly- and Semi-Supervised Panoptic Segmentation
Weakly- and Semi-Supervised Panoptic Segmentation
Qizhu Li
Anurag Arnab
Philip Torr
102
165
0
10 Aug 2018
Weakly Supervised Bilinear Attention Network for Fine-Grained Visual
  Classification
Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification
Tao Hu
Jizheng Xu
Cong Huang
H. Qi
Qingming Huang
Yan Lu
30
5
0
06 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class
  Impressions
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
Konda Reddy Mopuri
P. Uppala
R. Venkatesh Babu
AAML
68
85
0
03 Aug 2018
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep
  Neural Networks
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks
Dasom Seo
Kanghan Oh
Il-Seok Oh
FAtt
44
23
0
31 Jul 2018
Self-produced Guidance for Weakly-supervised Object Localization
Self-produced Guidance for Weakly-supervised Object Localization
Xiaolin Zhang
Yunchao Wei
Guoliang Kang
Yi Yang
Thomas Huang
WSOL
119
253
0
24 Jul 2018
Explainable Neural Computation via Stack Neural Module Networks
Explainable Neural Computation via Stack Neural Module Networks
Ronghang Hu
Jacob Andreas
Trevor Darrell
Kate Saenko
LRMOCL
106
199
0
23 Jul 2018
AutoLoc: Weakly-supervised Temporal Action Localization
AutoLoc: Weakly-supervised Temporal Action Localization
Zheng Shou
Hang Gao
Lei Zhang
K. Miyazawa
Shih-Fu Chang
114
261
0
22 Jul 2018
Explaining Image Classifiers by Counterfactual Generation
Explaining Image Classifiers by Counterfactual Generation
C. Chang
Elliot Creager
Anna Goldenberg
David Duvenaud
VLM
85
265
0
20 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
139
480
0
02 Jul 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
119
222
0
20 Jun 2018
Contrastive Explanations with Local Foil Trees
Contrastive Explanations with Local Foil Trees
J. V. D. Waa
M. Robeer
J. Diggelen
Matthieu J. S. Brinkhuis
Mark Antonius Neerincx
FAtt
79
82
0
19 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
215
1,177
0
19 Jun 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
38
25
0
23 May 2018
Classifier-agnostic saliency map extraction
Classifier-agnostic saliency map extraction
Konrad Zolna
Krzysztof J. Geras
Kyunghyun Cho
73
29
0
21 May 2018
Bilinear Attention Networks
Bilinear Attention Networks
Jin-Hwa Kim
Jaehyun Jun
Byoung-Tak Zhang
AIMat
107
879
0
21 May 2018
Learning Pixel-wise Labeling from the Internet without Human Interaction
Learning Pixel-wise Labeling from the Internet without Human Interaction
Yun-Hai Liu
Yujun Shi
Jiawang Bian
Le Zhang
Ming-Ming Cheng
Jiashi Feng
SSL
28
0
0
19 May 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class
  Models
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models
Jacob R. Kauffmann
K. Müller
G. Montavon
DRL
74
97
0
16 May 2018
Deep Attentional Structured Representation Learning for Visual
  Recognition
Deep Attentional Structured Representation Learning for Visual Recognition
Krishna Kanth Nakka
Mathieu Salzmann
63
10
0
14 May 2018
Confidence Modeling for Neural Semantic Parsing
Confidence Modeling for Neural Semantic Parsing
Li Dong
Chris Quirk
Mirella Lapata
86
84
0
11 May 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-
  Supervised Semantic Segmentation
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Yunchao Wei
Huaxin Xiao
Humphrey Shi
Zequn Jie
Jiashi Feng
Thomas S. Huang
SSeg
98
546
0
11 May 2018
Adversarial Complementary Learning for Weakly Supervised Object
  Localization
Adversarial Complementary Learning for Weakly Supervised Object Localization
Xiaolin Zhang
Yunchao Wei
Jiashi Feng
Yi Yang
Thomas Huang
WSOL
146
575
0
19 Apr 2018
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised
  Semantic Segmentation
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation
Carolina Redondo-Cabrera
Marcos Baptista-Rios
Roberto J. López-Sastre
55
34
0
13 Apr 2018
Understanding Community Structure in Layered Neural Networks
Understanding Community Structure in Layered Neural Networks
C. Watanabe
Kaoru Hiramatsu
K. Kashino
135
22
0
13 Apr 2018
Weakly Supervised Instance Segmentation using Class Peak Response
Weakly Supervised Instance Segmentation using Class Peak Response
Yanzhao Zhou
Yi Zhu
QiXiang Ye
Qiang Qiu
Jianbin Jiao
WSOL
103
276
0
03 Apr 2018
WebSeg: Learning Semantic Segmentation from Web Searches
WebSeg: Learning Semantic Segmentation from Web Searches
Qibin Hou
Ming-Ming Cheng
Jiangjiang Liu
Philip Torr
67
10
0
27 Mar 2018
What do Deep Networks Like to See?
What do Deep Networks Like to See?
Sebastián M. Palacio
Joachim Folz
Jörn Hees
Federico Raue
Damian Borth
Andreas Dengel
SSL
43
30
0
22 Mar 2018
Towards Explanation of DNN-based Prediction with Guided Feature
  Inversion
Towards Explanation of DNN-based Prediction with Guided Feature Inversion
Mengnan Du
Ninghao Liu
Qingquan Song
Helen Zhou
FAtt
97
127
0
19 Mar 2018
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Syed Ashar Javed
Shreyas Saxena
Vineet Gandhi
SSL
67
25
0
17 Mar 2018
Decoupled Spatial Neural Attention for Weakly Supervised Semantic
  Segmentation
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation
Tianyi Zhang
Guosheng Lin
Jianfei Cai
T. Shen
Chunhua Shen
Alex C. Kot
64
77
0
07 Mar 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
133
532
0
27 Feb 2018
Multi-Evidence Filtering and Fusion for Multi-Label Classification,
  Object Detection and Semantic Segmentation Based on Weakly Supervised
  Learning
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge
Sibei Yang
Yizhou Yu
99
190
0
26 Feb 2018
Joint Attention in Driver-Pedestrian Interaction: from Theory to
  Practice
Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice
Amir Rasouli
John K. Tsotsos
91
32
0
07 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
75
52
0
02 Feb 2018
Evaluating neural network explanation methods using hybrid documents and
  morphological agreement
Evaluating neural network explanation methods using hybrid documents and morphological agreement
Nina Pörner
Benjamin Roth
Hinrich Schütze
60
9
0
19 Jan 2018
What have we learned from deep representations for action recognition?
What have we learned from deep representations for action recognition?
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
Andrew Zisserman
SSL
88
47
0
04 Jan 2018
Unsupervised Object-Level Video Summarization with Online Motion
  Auto-Encoder
Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder
Yujia Zhang
Xiaodan Liang
Dingwen Zhang
Min Tan
Eric Xing
80
79
0
02 Jan 2018
Visual Explanation by Interpretation: Improving Visual Feedback
  Capabilities of Deep Neural Networks
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
José Oramas
Kaili Wang
Tinne Tuytelaars
XAIFAtt
47
62
0
18 Dec 2017
Visual Feature Attribution using Wasserstein GANs
Visual Feature Attribution using Wasserstein GANs
Christian F. Baumgartner
Lisa M. Koch
K. Tezcan
Jia Xi Ang
E. Konukoglu
GANMedIm
103
144
0
24 Nov 2017
S4Net: Single Stage Salient-Instance Segmentation
S4Net: Single Stage Salient-Instance Segmentation
Ruochen Fan
Ming-Ming Cheng
Qibin Hou
Tai-Jiang Mu
Jingdong Wang
Shimin Hu
ISegSSeg
64
86
0
21 Nov 2017
Excitation Backprop for RNNs
Excitation Backprop for RNNs
Sarah Adel Bargal
Andrea Zunino
Donghyun Kim
Jianming Zhang
Vittorio Murino
Stan Sclaroff
166
48
0
18 Nov 2017
Towards Interpretable R-CNN by Unfolding Latent Structures
Towards Interpretable R-CNN by Unfolding Latent Structures
Tianfu Wu
Wei Sun
Xilai Li
Xi Song
Yangqiu Song
ObjD
62
20
0
14 Nov 2017
Visualizing and Understanding Atari Agents
Visualizing and Understanding Atari Agents
S. Greydanus
Anurag Koul
Jonathan Dodge
Alan Fern
FAtt
133
348
0
31 Oct 2017
Embedding Deep Networks into Visual Explanations
Embedding Deep Networks into Visual Explanations
Zhongang Qi
Saeed Khorram
Fuxin Li
41
27
0
15 Sep 2017
Learning Functional Causal Models with Generative Neural Networks
Learning Functional Causal Models with Generative Neural Networks
Hugo Jair Escalante
Sergio Escalera
Xavier Baro
Isabelle M Guyon
Umut Güçlü
Marcel van Gerven
CMLBDL
105
108
0
15 Sep 2017
Top-Down Saliency Detection Driven by Visual Classification
Top-Down Saliency Detection Driven by Visual Classification
Francesca Murabito
C. Spampinato
S. Palazzo
Konstantin Pogorelov
Michael Riegler
66
42
0
15 Sep 2017
Soft Proposal Networks for Weakly Supervised Object Localization
Soft Proposal Networks for Weakly Supervised Object Localization
Yi Zhu
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
WSOL
78
150
0
06 Sep 2017
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