Learning Deep Features for Discriminative Localization

14 December 2015

Antonio Torralba

Papers citing "Learning Deep Features for Discriminative Localization"

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Title
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian 65 56 0 20 Jun 2021
Informative Class Activation Maps Zhenyue Qin Dongwoo Kim Tom Gedeon 28 3 0 19 Jun 2021
Towards Single Stage Weakly Supervised Semantic Segmentation Peri Akiva Kristin J. Dana 145 8 0 18 Jun 2021
NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights Kirill Bykov Anna Hedström Shinichi Nakajima Marina M.-C. Höhne FAtt 95 35 0 18 Jun 2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks Sudhakar Kumawat Gagan Kanojia Shanmuganathan Raman 39 5 0 17 Jun 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification Chao-Han Huck Yang Yun-Yun Tsai Pin-Yu Chen AI4TS 117 130 0 17 Jun 2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications Yun Cao Jianxin Wu SSL 84 27 0 17 Jun 2021
Evolving Image Compositions for Feature Representation Learning Paola Cascante-Bonilla Arshdeep Sekhon Yanjun Qi Vicente Ordonez SSL 92 7 0 16 Jun 2021
Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands Poorya Aghdaie Baaria Chaudhary Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM 122 22 0 16 Jun 2021
SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods Hyeoncheol Cho Youngrock Oh Eunjoo Jeon FAtt 29 0 0 16 Jun 2021
Keep CALM and Improve Visual Feature Attribution Jae Myung Kim Junsuk Choe Zeynep Akata Seong Joon Oh FAtt 480 20 0 15 Jun 2021
Canonical Face Embeddings David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 56 7 0 15 Jun 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis Kangning Liu Yiqiu Shen Nan Wu Jakub Chledowski C. Fernandez‐Granda Krzysztof J. Geras 100 23 0 13 Jun 2021
Large-Scale Unsupervised Object Discovery Huy V. Vo Elena Sizikova Cordelia Schmid P. Pérez Jean Ponce ObjD 159 55 0 12 Jun 2021
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm Mingkang Zhu Tianlong Chen Zhangyang Wang AAML 80 20 0 10 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 154 66 0 10 Jun 2021
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents K. Murugesan Subhajit Chaudhury Kartik Talamadupula 99 5 0 09 Jun 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 85 13 0 09 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 82 18 0 09 Jun 2021
Self-supervision of Feature Transformation for Further Improving Supervised Learning Zilin Ding Yuhang Yang Xuan Cheng Xiaomin Wang Ming-Yuan Liu SSL 26 2 0 09 Jun 2021
Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning Yuhang Yang Zilin Ding Xuan Cheng Xiaomin Wang Ming Liu SSL 31 1 0 09 Jun 2021
Few-Shot Action Localization without Knowing Boundaries Tingting Xie Christos Tzelepis Fan Fu Ioannis Patras 67 5 0 08 Jun 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation Bingfeng Zhang Jimin Xiao Jianbo Jiao Yunchao Wei Yao-Min Zhao 95 99 0 08 Jun 2021
Amortized Generation of Sequential Algorithmic Recourses for Black-box Models Sahil Verma Keegan E. Hines John P. Dickerson 94 24 0 07 Jun 2021
Source-Free Open Compound Domain Adaptation in Semantic Segmentation Yuyang Zhao Zhun Zhong Shaozi Li G. Lee N. Sebe TTA 106 90 0 07 Jun 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip Torr UQCV 125 92 0 06 Jun 2021
Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning Yilin Wang Shaozuo Yu Xiaokang Yang Wei Shen 45 1 0 05 Jun 2021
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes D. Bashkirova M. Abdelfattah Ziliang Zhu James Akl Fadi M. Alladkani Ping Hu Vitaly Ablavsky B. Çalli Sarah Adel Bargal Kate Saenko 89 53 0 04 Jun 2021
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention T. Gomez Suiyi Ling Thomas Fréour Harold Mouchère 77 5 0 04 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 154 33 0 03 Jun 2021
Deep Clustering Activation Maps for Emphysema Subtyping Weiyi Xie Colin Jacobs Bram van Ginneken 22 0 0 01 Jun 2021
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization Tokuhiro Nishikawa Daiki Shimada Jerry Jun Yokono 19 0 0 01 Jun 2021
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings Chao Wang Pengcheng An HAI 60 7 0 31 May 2021
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark Xiujun Shu Tianlin Li Xian Zhang Shiliang Zhang Yuanqi Chen Gezhong Li Q. Tian AI4TS 67 75 0 31 May 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 139 89 0 31 May 2021
Fast, Accurate and Interpretable Time Series Classification Through Randomization Nestor Cabello Elham Naghizade Jianzhong Qi Lars Kulik AI4TS 63 8 0 31 May 2021
Bounded logit attention: Learning to explain image classifiers Thomas Baumhauer D. Slijepcevic Matthias Zeppelzauer FAtt 61 2 0 31 May 2021
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network Jian Cui Zirui Lan O. Sourina W. Müller-Wittig 76 104 0 30 May 2021
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG Jian Cui Zirui Lan Yisi Liu Ruilin Li Fan Li O. Sourina W. Müller-Wittig 36 88 0 30 May 2021
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness Ruiwen Li Zhibo Zhang Jiani Li C. Trabelsi Scott Sanner Jongseong Jang Yeonjeong Jeong Dongsub Shim AAML 47 1 0 29 May 2021
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions Sanguk Park Minyoung Chung 24 15 0 27 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 89 190 0 27 May 2021
Towards Interpretable Attention Networks for Cervical Cancer Analysis Ruiqiao Wang M. Armin Simon Denman L. Petersson David Ahmedt-Aristizabal 35 4 0 27 May 2021
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang Han Zhang Long Zhao Ting Chen Sercan O. Arik Tomas Pfister ViT 102 174 0 26 May 2021
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey Feifei Shao Long Chen Jian Shao Wei Ji Shaoning Xiao Lu Ye Yueting Zhuang Jun Xiao WSOD 52 20 0 26 May 2021
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness Namuk Park S. Kim UQCV AAML 93 21 0 26 May 2021
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification Jiansheng Fang Yanwu Xu Yitian Zhao Yuguang Yan Junling Liu Jiang-Dong Liu 56 9 0 26 May 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images Wentao Chen Chenyang Si Wei Wang Liang Wang Zilei Wang Tieniu Tan SSL 59 10 0 25 May 2021
Improving Few-shot Learning with Weakly-supervised Object Localization Inyong Koo Minki Jeong Changick Kim WSOL SSL 43 1 0 25 May 2021
Can We Faithfully Represent Masked States to Compute Shapley Values on a DNN? Jie Ren Zhanpeng Zhou Qirui Chen Quanshi Zhang FAtt TDI 84 8 0 22 May 2021