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

7 October 2016

Ramprasaath R. Selvaraju

Devi Parikh

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

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Title
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 148 806 0 24 Sep 2020
Information-Theoretic Visual Explanation for Black-Box Classifiers Jihun Yi Eunji Kim Siwon Kim Sungroh Yoon FAtt 88 6 0 23 Sep 2020
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound Gavriel Habib N. Kiryati M. Sklair-Levy A. Shalmon O. H. Neiman Renata Faermann Weidenfeld Y. Yagil Eli Konen Arnaldo Mayer 111 9 0 23 Sep 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 102 97 0 22 Sep 2020
Preserving Integrity in Online Social Networks A. Halevy Cristian Canton Ferrer Hao Ma Umut Ozertem Patrick Pantel Marzieh Saeidi Fabrizio Silvestri Ves Stoyanov 72 59 0 22 Sep 2020
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss Cheng Yan Guansong Pang Xiao Bai Jun Zhou Lin Gu 99 157 0 22 Sep 2020
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts Sarah Jabbour David Fouhey Ella Kazerooni Michael Sjoding Jenna Wiens OOD 74 49 0 21 Sep 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 95 114 0 21 Sep 2020
Batch Coherence-Driven Network for Part-aware Person Re-Identification Kan Wang Pengfei Wang Changxing Ding Dacheng Tao 93 23 0 21 Sep 2020
Introspective Learning by Distilling Knowledge from Online Self-explanation Jindong Gu Zhiliang Wu Volker Tresp 37 3 0 19 Sep 2020
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization Minhui Jin Mengce Zheng Honggang Hu Nenghai Yu AAML 31 15 0 18 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 195 855 0 16 Sep 2020
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization Hanjiang Hu Hesheng Wang Zhe Liu Weidong Chen 59 27 0 16 Sep 2020
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability Ninghao Liu Yunsong Meng Helen Zhou Tie Wang Bo Long XAI FAtt 79 7 0 16 Sep 2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development Alexandros Karargyris Satyananda Kashyap Ismini Lourentzou Joy T. Wu Arjun Sharma ... Shafiq Abedin David Beymer Vandana V. Mukherjee E. Krupinski Mehdi Moradi MedIm 74 102 0 15 Sep 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses Kaivalya Rawal Himabindu Lakkaraju 108 11 0 15 Sep 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems Haoliang Li Yufei Wang Xiaofei Xie Yang Liu Shiqi Wang Renjie Wan Lap-Pui Chau City University of Hong Kong AAML 65 33 0 15 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification Zhao Wang Quande Liu Qi Dou OOD 80 167 0 15 Sep 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 124 391 0 15 Sep 2020
The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition Pablo V. A. Barros Nikhil Churamani A. Sciutti CVBM 53 38 0 15 Sep 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 84 25 0 15 Sep 2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition Liangzhi Li Bowen Wang Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara OCL 84 50 0 14 Sep 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis Jannis Born Nina Wiedemann G. Brändle Charlotte Buhre Bastian Rieck Karsten Borgwardt 80 45 0 13 Sep 2020
MeLIME: Meaningful Local Explanation for Machine Learning Models T. Botari Frederik Hvilshoj Rafael Izbicki A. Carvalho AAML FAtt 75 16 0 12 Sep 2020
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets Daniel Nemirovsky Nicolas Thiebaut Ye Xu Abhishek Gupta CML GAN 78 35 0 11 Sep 2020
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network Shakib Yazdani Shervin Minaee R. Kafieh N. Saeedizadeh Milan Sonka MedIm 65 32 0 10 Sep 2020
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 82 456 0 10 Sep 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang Min Zhang Yachen Kang Donglin Wang 49 43 0 10 Sep 2020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images Hayden Gunraj Linda Wang A. Wong OOD 61 207 0 08 Sep 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 61 16 0 08 Sep 2020
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel David Vigouroux Rémi Cadène Thomas Serre XAI FAtt 75 31 0 07 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 57 28 0 06 Sep 2020
Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition Yang Liu Keze Wang Guanbin Li Liang Lin 122 90 0 01 Sep 2020
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images Janine Thoma D. Paudel Ajad Chhatkuli Luc Van Gool 33 2 0 27 Aug 2020
How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels Hua Shen Ting-Hao 'Kenneth' Huang FAtt HAI 83 56 0 26 Aug 2020
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction Darius Afchar Romain Hennequin FAtt XAI 86 16 0 26 Aug 2020
Effective Action Recognition with Embedded Key Point Shifts Haozhi Cao Yuecong Xu Jianfei Yang K. Mao Jianxiong Yin Simon See 42 7 0 26 Aug 2020
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment Geeticka Chauhan Ruizhi Liao W. Wells Jacob Andreas Xin Wang Seth Berkowitz Steven Horng Peter Szolovits Polina Golland MedIm 74 53 0 22 Aug 2020
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages Aritra Chowdhury Alberto Santamaria-Pang James R. Kubricht Jianwei Qiu Peter Tu MedIm 75 6 0 22 Aug 2020
Emergent symbolic language based deep medical image classification Aritra Chowdhury Alberto Santamaria-Pang James R. Kubricht Peter Tu MedIm 50 11 0 22 Aug 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data Zhaocheng Liu Qiang Liu Haoli Zhang Yuntian Chen 84 13 0 22 Aug 2020
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals Guanghao Yin Shouqian Sun Dian Yu Dejian Li Ke-jun Zhang 25 33 0 22 Aug 2020
A Unified Taylor Framework for Revisiting Attribution Methods Huiqi Deng Na Zou Mengnan Du Weifu Chen Guo-Can Feng Helen Zhou FAtt TDI 146 21 0 21 Aug 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 95 223 0 21 Aug 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung Jonghyun Lee Jihun Yi Sungroh Yoon 136 12 0 20 Aug 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images Saul Calderon-Ramirez Shengxiang-Yang Armaghan Moemeni David Elizondo Simon Colreavy-Donnelly Luis Fernando Chavarria-Estrada Miguel A. Molina-Cabello 76 46 0 19 Aug 2020
Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization Arjun H. Pallath M. Dyrba 8 0 0 18 Aug 2020
Spontaneous preterm birth prediction using convolutional neural networks T. Włodarczyk Szymon Płotka Przemyslaw Rokita Nicole Sochacki-Wójcicka J. Wójcicki M. Lipa Tomasz Trzciñski 23 19 0 16 Aug 2020