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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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Estimating brain age based on a healthy population with deep learning and structural MRI Xinyang Feng Zachary Chase Lipton J. Yang S. Small F. Provenzano 48 6 0 01 Jul 2019
A 1d convolutional network for leaf and time series classification Dongyang Kuang AI4TS 50 11 0 28 Jun 2019
Classification of glomerular hypercellularity using convolutional features and support vector machine Paulo Chagas Luiz Souza I. Araújo N. Aldeman A. Duarte M. Angelo Washington L. C. dos-Santos Luciano Oliveira 21 60 0 28 Jun 2019
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence A. Elkins F. Freitas V. Sanz 38 10 0 26 Jun 2019
Improving performance of deep learning models with axiomatic attribution priors and expected gradients G. Erion Joseph D. Janizek Pascal Sturmfels Scott M. Lundberg Su-In Lee OOD BDL FAtt 95 82 0 25 Jun 2019
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles C. Kyrkou T. Theocharides 40 110 0 20 Jun 2019
Automatic estimation of heading date of paddy rice using deep learning Sai Vikas Desai V. Balasubramanian T. Fukatsu S. Ninomiya Wei Guo 96 74 0 19 Jun 2019
Convolutional neural network models for cancer type prediction based on gene expression Milad Mostavi Yu-Chiao Chiu Yufei Huang Yidong Chen MedIm 52 188 0 18 Jun 2019
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
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution Zicun Cong Lingyang Chu Lanjun Wang X. Hu J. Pei 420 5 0 17 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 88 129 0 14 Jun 2019
Instance Segmentation with Point Supervision I. Laradji Negar Rostamzadeh Pedro H. O. Pinheiro David Vazquez Mark Schmidt 3DPC ISeg 79 21 0 14 Jun 2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays X. Li Rui Cao D. Zhu 69 20 0 12 Jun 2019
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification Kan Wang Changxing Ding Stephen J. Maybank Dacheng Tao 59 29 0 12 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance Qiuyu Zhu Zikuang He Xin Ye CLL 44 6 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 23 0 0 10 Jun 2019
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis Hyebin Lee S. T. Kim Yong Man Ro MedIm 63 44 0 10 Jun 2019
HPILN: A feature learning framework for cross-modality person re-identification Jianping Lin Hao Li 59 76 0 07 Jun 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series Jeeheh Oh Jiaxuan Wang Shengpu Tang Michael Sjoding Jenna Wiens OOD 42 12 0 07 Jun 2019
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness Walt Woods Jack H Chen C. Teuscher AAML 66 46 0 07 Jun 2019
XRAI: Better Attributions Through Regions A. Kapishnikov Tolga Bolukbasi Fernanda Viégas Michael Terry FAtt XAI 74 213 0 06 Jun 2019
Evaluating Explanation Methods for Deep Learning in Security Alexander Warnecke Dan Arp Christian Wressnegger Konrad Rieck XAI AAML FAtt 71 94 0 05 Jun 2019
Multi-way Encoding for Robustness Donghyun Kim Sarah Adel Bargal Jianming Zhang Stan Sclaroff AAML 38 2 0 05 Jun 2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks Florian Dubost H. Adams P. Yilmaz Gerda Bortsova Gijs van Tulder M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 73 44 0 05 Jun 2019
Kandinsky Patterns Heimo Mueller Andreas Holzinger 48 31 0 03 Jun 2019
Generating Question Relevant Captions to Aid Visual Question Answering Jialin Wu Zeyuan Hu Raymond J. Mooney 112 43 0 03 Jun 2019
Model Agnostic Contrastive Explanations for Structured Data Amit Dhurandhar Tejaswini Pedapati Avinash Balakrishnan Pin-Yu Chen Karthikeyan Shanmugam Ruchi Puri FAtt 88 83 0 31 May 2019
Deep interpretable architecture for plant diseases classification Mohammed Brahimi Said Mahmoudi K. Boukhalfa A. Moussaoui 56 47 0 31 May 2019
ImJoy: an open-source computational platform for the deep learning era Ouyang Wei F. Mueller Martin Hjelmare E. Lundberg C. Zimmer VLM AI4CE 137 117 0 30 May 2019
Dynamic Traffic Scene Classification with Space-Time Coherence Athma Narayanan Isht Dwivedi Behzad Dariush 64 24 0 29 May 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 115 38 0 29 May 2019
Cross-Domain Transferability of Adversarial Perturbations Muzammal Naseer Salman H. Khan M. H. Khan Fahad Shahbaz Khan Fatih Porikli AAML 115 145 0 28 May 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 67 180 0 27 May 2019
Self-Critical Reasoning for Robust Visual Question Answering Jialin Wu Raymond J. Mooney OOD NAI 77 161 0 24 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 117 161 0 23 May 2019
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks Babak Namazi G. Sankaranarayanan V. Devarajan 39 13 0 22 May 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 77 212 0 21 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 153 53 0 20 May 2019
What Do Adversarially Robust Models Look At? Takahiro Itazuri Yoshihiro Fukuhara Hirokatsu Kataoka Shigeo Morishima 32 5 0 19 May 2019
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins Mark T. Keane Eoin M. Kenny 125 81 0 17 May 2019
Local Features and Visual Words Emerge in Activations Oriane Siméoni Yannis Avrithis Ondřej Chum 115 74 0 15 May 2019
Skin Cancer Recognition using Deep Residual Network Brij Rokad S. Nagarajan MedIm 8 3 0 14 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 107 15 0 11 May 2019
Learning Interpretable Features via Adversarially Robust Optimization Ashkan Khakzar Shadi Albarqouni Nassir Navab MedIm FAtt 55 14 0 09 May 2019
Embedding Human Knowledge into Deep Neural Network via Attention Map Masahiro Mitsuhara Hiroshi Fukui Yusuke Sakashita Takanori Ogata Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 95 73 0 09 May 2019
Deep Visual City Recognition Visualization Xiangwei Shi Seyran Khademi Jan van Gemert SSL HAI FAtt 39 4 0 06 May 2019
Intra-clip Aggregation for Video Person Re-identification Takashi Isobe Jian Han Fang Zhu Yali Li Shengjin Wang 92 12 0 05 May 2019
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
Interpretability with Accurate Small Models Abhishek Ghose Balaraman Ravindran 110 1 0 04 May 2019
SCOPS: Self-Supervised Co-Part Segmentation Wei-Chih Hung Varun Jampani Sifei Liu Pavlo Molchanov Ming-Hsuan Yang Jan Kautz 85 142 0 03 May 2019