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Information-Bottleneck Approach to Salient Region Discovery
v1v2 (latest)

Information-Bottleneck Approach to Salient Region Discovery

22 July 2019
A. Zhmoginov
Ian S. Fischer
Mark Sandler
ArXiv (abs)PDFHTML

Papers citing "Information-Bottleneck Approach to Salient Region Discovery"

10 / 10 papers shown
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui
Changkyu Choi
Andrey Barsky
Kangsoo Jung
Ernest Valveny
Dimosthenis Karatzas
312
2
0
12 May 2025
Learning Intrinsic Dimension via Information Bottleneck for Explainable
  Aspect-based Sentiment Analysis
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
Zhenxiao Cheng
Jie Zhou
Wen Wu
Qin Chen
Liang He
259
1
0
28 Feb 2024
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
R2-Trans:Fine-Grained Visual Categorization with Redundancy ReductionImage and Vision Computing (IVC), 2022
Yu Wang
Shuo Ye
Shujian Yu
Xinge You
201
21
0
21 Apr 2022
Graph Structure Learning with Variational Information Bottleneck
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun
Jianxin Li
Hao Peng
Hongzhi Zhang
Xingcheng Fu
Cheng Ji
Philip S. Yu
224
205
0
16 Dec 2021
Reducing Information Bottleneck for Weakly Supervised Semantic
  Segmentation
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee
Jooyoung Choi
J. Mok
Sungroh Yoon
SSeg
477
161
0
13 Oct 2021
Information Bottleneck Approach to Spatial Attention Learning
Information Bottleneck Approach to Spatial Attention LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Qiuxia Lai
Yu Li
Ailing Zeng
Minhao Liu
Hanqiu Sun
Qiang Xu
194
13
0
07 Aug 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
578
289
0
09 Dec 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Unsupervised Object Keypoint Learning using Local Spatial PredictabilityInternational Conference on Learning Representations (ICLR), 2020
Anand Gopalakrishnan
Sjoerd van Steenkiste
Jürgen Schmidhuber
SSL
214
21
0
25 Nov 2020
PointMask: Towards Interpretable and Bias-Resilient Point Cloud
  Processing
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
Saeid Asgari Taghanaki
Kaveh Hassani
P. Jayaraman
Amir Hosein Khas Ahmadi
Tonya Custis
3DPC
159
10
0
09 Jul 2020
An Information Bottleneck Approach for Controlling Conciseness in
  Rationale Extraction
An Information Bottleneck Approach for Controlling Conciseness in Rationale ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Bhargavi Paranjape
Mandar Joshi
John Thickstun
Hannaneh Hajishirzi
Luke Zettlemoyer
315
107
0
01 May 2020
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