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. 1608.00507
  4. Cited By
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
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth C. Fong
Mandela Patrick
Andrea Vedaldi
AAML
91
421
0
18 Oct 2019
Combinational Class Activation Maps for Weakly Supervised Object
  Localization
Combinational Class Activation Maps for Weakly Supervised Object Localization
Seunghan Yang
Yoonhyung Kim
Youngeun Kim
Changick Kim
WSOL
119
78
0
12 Oct 2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks for
  Weakly Supervised Instance Segmentation
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weifeng Ge
Sheng Guo
Weilin Huang
Matthew R. Scott
100
49
0
07 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Helen Zhou
FAtt
111
1,073
0
03 Oct 2019
Visual Explanation for Deep Metric Learning
Visual Explanation for Deep Metric Learning
Sijie Zhu
Taojiannan Yang
Chong Chen
FAtt
78
35
0
27 Sep 2019
Towards Explainable Artificial Intelligence
Towards Explainable Artificial Intelligence
Wojciech Samek
K. Müller
XAI
87
448
0
26 Sep 2019
Explaining and Interpreting LSTMs
Explaining and Interpreting LSTMs
L. Arras
Jose A. Arjona-Medina
Michael Widrich
G. Montavon
Michael Gillhofer
K. Müller
Sepp Hochreiter
Wojciech Samek
FAttAI4TS
76
79
0
25 Sep 2019
Multi-scale discriminative Region Discovery for Weakly-Supervised Object
  Localization
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization
Pei Lv
Haiyue Yu
Junxiao Xue
Junjin Cheng
Lisha Cui
Bing Zhou
Mingliang Xu
Yezhou Yang
WSOL
30
2
0
24 Sep 2019
Count, Crop and Recognise: Fine-Grained Recognition in the Wild
Count, Crop and Recognise: Fine-Grained Recognition in the Wild
Max Bain
Arsha Nagrani
Daniel Schofield
Andrew Zisserman
72
11
0
19 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
159
74
0
08 Sep 2019
Explainable Deep Learning for Video Recognition Tasks: A Framework &
  Recommendations
Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations
Liam Hiley
Alun D. Preece
Y. Hicks
XAI
34
15
0
07 Sep 2019
Attention-based Dropout Layer for Weakly Supervised Object Localization
Attention-based Dropout Layer for Weakly Supervised Object Localization
Junsuk Choe
Hyunjung Shim
WSOL
147
367
0
27 Aug 2019
Semi Supervised Phrase Localization in a Bidirectional Caption-Image
  Retrieval Framework
Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework
Deepan Das
Noor Mohammed Ghouse
Shashank Verma
Yin Li
23
0
0
08 Aug 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional
  Neural Networks
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Jörg Wagner
Jan M. Köhler
Tobias Gindele
Leon Hetzel
Thaddäus Wiedemer
Sven Behnke
AAMLFAtt
92
122
0
07 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient
  Layer-wise Relevance Propagation
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Brian Kenji Iwana
Ryohei Kuroki
S. Uchida
FAtt
72
98
0
06 Aug 2019
Discriminating Spatial and Temporal Relevance in Deep Taylor
  Decompositions for Explainable Activity Recognition
Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition
Liam Hiley
Alun D. Preece
Y. Hicks
D. Marshall
Harrison Taylor
FAtt
33
11
0
05 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang
Yunxin Zhong
Yulin Deng
Xiaoying Tang
Xiaoqiong Li
69
32
0
01 Aug 2019
Grid Saliency for Context Explanations of Semantic Segmentation
Grid Saliency for Context Explanations of Semantic Segmentation
Lukas Hoyer
Mauricio Muñoz
P. Katiyar
Anna Khoreva
Volker Fischer
FAtt
153
50
0
30 Jul 2019
From Clustering to Cluster Explanations via Neural Networks
From Clustering to Cluster Explanations via Neural Networks
Jacob R. Kauffmann
Malte Esders
Lukas Ruff
G. Montavon
Wojciech Samek
K. Müller
79
72
0
18 Jun 2019
Dynamic Traffic Scene Classification with Space-Time Coherence
Dynamic Traffic Scene Classification with Space-Time Coherence
Athma Narayanan
Isht Dwivedi
Behzad Dariush
64
24
0
29 May 2019
Self-Critical Reasoning for Robust Visual Question Answering
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu
Raymond J. Mooney
OODNAI
75
161
0
24 May 2019
Deep Visual City Recognition Visualization
Deep Visual City Recognition Visualization
Xiangwei Shi
Seyran Khademi
Jan van Gemert
SSLHAIFAtt
31
4
0
06 May 2019
Unsupervised Detection of Distinctive Regions on 3D Shapes
Unsupervised Detection of Distinctive Regions on 3D Shapes
Xianzhi Li
Lequan Yu
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
95
20
0
05 May 2019
Visualizing Deep Networks by Optimizing with Integrated Gradients
Visualizing Deep Networks by Optimizing with Integrated Gradients
Zhongang Qi
Saeed Khorram
Fuxin Li
FAtt
83
123
0
02 May 2019
Counterfactual Visual Explanations
Counterfactual Visual Explanations
Yash Goyal
Ziyan Wu
Jan Ernst
Dhruv Batra
Devi Parikh
Stefan Lee
CML
95
511
0
16 Apr 2019
Attentive Action and Context Factorization
Attentive Action and Context Factorization
Yanjie Wang
Vinh Tran
Gedas Bertasius
Lorenzo Torresani
Minh Hoai
31
6
0
10 Apr 2019
Software and application patterns for explanation methods
Software and application patterns for explanation methods
Maximilian Alber
80
11
0
09 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht
Cyril Ibrahim
C. Pal
96
32
0
02 Apr 2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption
  Alignment
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
Samyak Datta
Karan Sikka
Anirban Roy
Karuna Ahuja
Devi Parikh
Ajay Divakaran
97
104
0
27 Mar 2019
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
Andrew Anderson
Jonathan Dodge
Amrita Sadarangani
Zoe Juozapaitis
E. Newman
Jed Irvine
Souti Chattopadhyay
Alan Fern
Margaret Burnett
FAtt
64
67
0
22 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really
  Learn
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
106
1,023
0
26 Feb 2019
Deep Discriminative Representation Learning with Attention Map for Scene
  Classification
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Jun Yu Li
Daoyu Lin
Yang Wang
Guangluan Xu
C. Ding
59
83
0
21 Feb 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language
  Models More Grounded
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
Ramprasaath R. Selvaraju
Stefan Lee
Yilin Shen
Hongxia Jin
Shalini Ghosh
Larry Heck
Dhruv Batra
Devi Parikh
FAttVLM
76
255
0
11 Feb 2019
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional
  Neural Networks
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks
Xinrui Cui
Dan Wang
F. I. Z. Jane Wang
FAttBDL
36
12
0
07 Feb 2019
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Alexandros Stergiou
G. Kapidis
Grigorios Kalliatakis
C. Chrysoulas
R. Veltkamp
R. Poppe
FAtt
67
47
0
04 Feb 2019
See Better Before Looking Closer: Weakly Supervised Data Augmentation
  Network for Fine-Grained Visual Classification
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Tao Hu
H. Qi
Qingming Huang
Yan Lu
69
235
0
26 Jan 2019
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Ning Xie
Farley Lai
Derek Doran
Asim Kadav
CoGe
127
327
0
20 Jan 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
Zenan Ling
Haotian Ma
Yu Yang
Robert C. Qiu
Song-Chun Zhu
Quanshi Zhang
MILM
33
3
0
08 Jan 2019
SIXray : A Large-scale Security Inspection X-ray Benchmark for
  Prohibited Item Discovery in Overlapping Images
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
Caijing Miao
Lingxi Xie
Fang Wan
Chi Su
Hongye Liu
Jianbin Jiao
QiXiang Ye
50
229
0
02 Jan 2019
A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction
Xiaodan Zhang
Xinbo Gao
Wen Lu
Lihuo He
44
94
0
19 Dec 2018
Interactive Naming for Explaining Deep Neural Networks: A Formative
  Study
Interactive Naming for Explaining Deep Neural Networks: A Formative Study
M. Hamidi-Haines
Zhongang Qi
Alan Fern
Fuxin Li
Prasad Tadepalli
FAttHAI
50
11
0
18 Dec 2018
Attending Category Disentangled Global Context for Image Classification
Keke Tang
Guodong Wei
Runnan Chen
Jie Zhu
Zhaoquan Gu
Wenping Wang
27
0
0
17 Dec 2018
Guided Zoom: Questioning Network Evidence for Fine-grained
  Classification
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
Sarah Adel Bargal
Andrea Zunino
Vitali Petsiuk
Jianming Zhang
Kate Saenko
Vittorio Murino
Stan Sclaroff
63
16
0
06 Dec 2018
Understanding Individual Decisions of CNNs via Contrastive
  Backpropagation
Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu
Yinchong Yang
Volker Tresp
FAtt
79
97
0
05 Dec 2018
Multimodal Explanations by Predicting Counterfactuality in Videos
Multimodal Explanations by Predicting Counterfactuality in Videos
Atsushi Kanehira
Kentaro Takemoto
S. Inayoshi
Tatsuya Harada
60
35
0
04 Dec 2018
Multi-task Learning of Hierarchical Vision-Language Representation
Multi-task Learning of Hierarchical Vision-Language Representation
Duy-Kien Nguyen
Takayuki Okatani
105
52
0
03 Dec 2018
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
Hassan Akbari
Svebor Karaman
Surabhi Bhargava
Brian Chen
Carl Vondrick
Shih-Fu Chang
62
83
0
28 Nov 2018
Multi-label Object Attribute Classification using a Convolutional Neural
  Network
Multi-label Object Attribute Classification using a Convolutional Neural Network
Soubarna Banik
M. Lauri
Simone Frintrop
60
11
0
10 Nov 2018
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action
  Localization
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
Haisheng Su
Xu Zhao
Tianwei Lin
107
27
0
28 Oct 2018
Brand > Logo: Visual Analysis of Fashion Brands
Brand > Logo: Visual Analysis of Fashion Brands
M. Kiapour
Robinson Piramuthu
35
7
0
23 Oct 2018
Previous
1234567
Next