Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

7 October 2016

Ramprasaath R. Selvaraju

Devi Parikh

Papers citing "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

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Title
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping Kira Vinogradova Alexandr Dibrov E. Myers FAtt 20 147 0 26 Feb 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin A. Ng M. Lungren LM&MA 27 49 0 26 Feb 2020
Rethinking the Route Towards Weakly Supervised Object Localization Chen-Da Liu-Zhang Yunhao Cao Jianxin Wu WSOL 23 99 0 26 Feb 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao Xinyu Lin Xue Lin AAML 25 47 0 26 Feb 2020
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis Q. H. Cap H. Uga S. Kagiwada Hitoshi Iyatomi MedIm 29 144 0 24 Feb 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation Sicheng Zhao Bo Li Xiangyu Yue Pengfei Xu Kurt Keutzer OOD 46 64 0 19 Feb 2020
Learning Global Transparent Models Consistent with Local Contrastive Explanations Tejaswini Pedapati Avinash Balakrishnan Karthikeyan Shanmugam Amit Dhurandhar FAtt 22 0 0 19 Feb 2020
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models A. Krug Sebastian Stober 24 0 0 19 Feb 2020
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI Taro Langner Robin Strand H. Ahlström J. Kullberg 31 22 0 17 Feb 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks M. Leming Juan M Gorriz J. Suckling 19 51 0 14 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 20 53 0 13 Feb 2020
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos Sicheng Zhao Yunsheng Ma Yang Gu Jufeng Yang Tengfei Xing Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer 19 98 0 12 Feb 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Dongliang Chang Yifeng Ding Jiyang Xie A. Bhunia Xiaoxu Li Zhanyu Ma Ming Wu Jun Guo Yi-Zhe Song 35 300 0 11 Feb 2020
$Weakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos$ Weakly-Supervised Multi-Person Action Recognition in 360 $^{\circ}$ Videos Junnan Li Jianquan Liu Yongkang Wong Shoji Nishimura Mohan S. Kankanhalli 31 13 0 09 Feb 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples Changjian Chen Jun Yuan Yafeng Lu Yang Liu Hang Su Songtao Yuan Shixia Liu OODD 26 63 0 08 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 30 128 0 05 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 33 314 0 05 Feb 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 43 30 0 03 Feb 2020
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation Rupam Patir Shubham Singhal C. Anantaram Vikram Goyal 16 0 0 02 Feb 2020
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks Joonatan Mänttäri Sofia Broomé John Folkesson Hedvig Kjellström FAtt 27 27 0 02 Feb 2020
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas Nishant Kumar Nico Hoffmann M. Kirsch Stefan Gumhold MedIm 27 3 0 26 Jan 2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning Evan Schwab A. Gooßen Hrishikesh Deshpande A. Saalbach 4 19 0 23 Jan 2020
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems Zana Buçinca Phoebe Lin Krzysztof Z. Gajos Elena L. Glassman ELM 25 280 0 22 Jan 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 205 344 0 22 Jan 2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study Nathaniel Braman M. Adoui M. Vulchi P. Turk M. Etesami ... V. Varadan D. Plecha M. Benjelloun J. Abraham A. Madabhushi 25 22 0 22 Jan 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 28 80 0 22 Jan 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation Jesse Sun Fatemeh Darbeha M. Zaidi Bo Wang AAML 19 110 0 21 Jan 2020
Deceptive AI Explanations: Creation and Detection Johannes Schneider Christian Meske Michalis Vlachos 29 28 0 21 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 303 186 0 21 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 28 67 0 17 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 42 207 0 15 Jan 2020
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks Nilavra Bhattacharya Somnath Rakshit J. Gwizdka P. Kogut 13 25 0 15 Jan 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 26 131 0 10 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 43 301 0 08 Jan 2020
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Zhibin Zhao Qiyang Zhang Xiaolei Yu Chuang Sun Shibin Wang Ruqiang Yan Xuefeng Chen AI4CE 19 355 0 28 Dec 2019
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains Lyndon Chan Mahdi S. Hosseini Konstantinos N. Plataniotis 29 97 0 24 Dec 2019
A Multimodal Target-Source Classifier with Attention Branches to Understand Ambiguous Instructions for Fetching Daily Objects A. Magassouba K. Sugiura Hisashi Kawai 38 9 0 23 Dec 2019
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 19 75 0 23 Dec 2019
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 13 132 0 20 Dec 2019
AeroRIT: A New Scene for Hyperspectral Image Analysis Aneesh Rangnekar Nilay Mokashi Emmett Ientilucci Christopher Kanan Matthew J. Hoffman SSeg 14 36 0 17 Dec 2019
Spatial-Angular Interaction for Light Field Image Super-Resolution Yingqian Wang Longguang Wang Jungang Yang W. An Jingyi Yu Yulan Guo 23 151 0 17 Dec 2019
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs Jingwei Ji Ranjay Krishna Li Fei-Fei Juan Carlos Niebles 39 336 0 15 Dec 2019
Zooming into Face Forensics: A Pixel-level Analysis Jia Li T. Shen Wei Zhang Hui Ren Dan Zeng Tao Mei CVBM 19 17 0 12 Dec 2019
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 19 29 0 10 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 30 90 0 09 Dec 2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 14 18 0 05 Dec 2019
Efficient Saliency Maps for Explainable AI T. Nathan Mundhenk Barry Y. Chen Gerald Friedland XAI FAtt 21 73 0 26 Nov 2019
Generate (non-software) Bugs to Fool Classifiers Hiromu Yakura Youhei Akimoto Jun Sakuma AAML 25 10 0 20 Nov 2019
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA Badri N. Patro Anupriy Vinay P. Namboodiri AAML FAtt 48 26 0 19 Nov 2019