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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
URIE: Universal Image Enhancement for Visual Recognition in the Wild Taeyoung Son Juwon Kang N. Kim Sunghyun Cho Suha Kwak OOD 93 49 0 17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 90 0 17 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 170 614 0 17 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 76 6 0 17 Jul 2020
Visualizing Transfer Learning Róbert Szabó Dániel Katona M. Csillag Adrián Csiszárik D. Varga 23 8 0 15 Jul 2020
Decoding CNN based Object Classifier Using Visualization Abhishek Mukhopadhyay Imon Mukherjee P. Biswas 26 3 0 15 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 91 143 0 14 Jul 2020
Towards causal benchmarking of bias in face analysis algorithms Guha Balakrishnan Yuanjun Xiong Wei Xia Pietro Perona CVBM 77 90 0 13 Jul 2020
A simple defense against adversarial attacks on heatmap explanations Laura Rieger Lars Kai Hansen FAtt AAML 100 37 0 13 Jul 2020
Multiple Sound Sources Localization from Coarse to Fine Rui Qian Di Hu Heinrich Dinkel Mengyue Wu N. Xu Weiyao Lin 69 157 0 13 Jul 2020
Domain aware medical image classifier interpretation by counterfactual impact analysis Dimitrios Lenis David Major M. Wimmer Astrid Berg Gert Sluiter Katja Bühler OOD MedIm 63 27 0 13 Jul 2020
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition Duo Li Qifeng Chen 71 6 0 13 Jul 2020
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models Yue Liu Hossein Azizpour Fredrik Strand Kevin Smith 47 11 0 11 Jul 2020
Do We Need Sound for Sound Source Localization? Takashi Oya Shohei Iwase Ryota Natsume Takahiro Itazuri Shugo Yamaguchi Shigeo Morishima 41 22 0 11 Jul 2020
Fast Real-time Counterfactual Explanations Yunxia Zhao 68 15 0 11 Jul 2020
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision R. McEver B. S. Manjunath 72 18 0 10 Jul 2020
Scientific Discovery by Generating Counterfactuals using Image Translation Arunachalam Narayanaswamy Subhashini Venugopalan D. Webster L. Peng G. Corrado ... Abigail E. Huang Siva Balasubramanian Michael P. Brenner Phil Q. Nelson A. Varadarajan DiffM MedIm 132 21 0 10 Jul 2020
StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification P. Cicalese Aryan Mobiny Pengyu Yuan Jan Becker Chandra Mohan H. Nguyen MedIm OOD 53 15 0 09 Jul 2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets Junsuk Choe Seong Joon Oh Sanghyuk Chun Seungho Lee Zeynep Akata Hyunjung Shim WSOL 460 25 0 08 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation Angelo Porrello Luca Bergamini Simone Calderara 78 67 0 08 Jul 2020
Toward unsupervised, multi-object discovery in large-scale image collections Huy V. Vo P. Pérez Jean Ponce OCL 85 74 0 06 Jul 2020
ResNeXt and Res2Net Structures for Speaker Verification Tianyan Zhou Yong Zhao Jian Wu 58 27 0 06 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 111 518 0 05 Jul 2020
D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector Renu Sharma Arun Ross AAML 68 49 0 02 Jul 2020
DATE: Defense Against TEmperature Side-Channel Attacks in DVFS Enabled MPSoCs Somdip Dey A. Singh Xiaohang Wang Klaus Dieter McDonald-Maier 8 1 0 02 Jul 2020
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification Christopher R. Hoyt Art B. Owen FAtt 27 13 0 02 Jul 2020
The Impact of Explanations on AI Competency Prediction in VQA Kamran Alipour Arijit Ray Xiaoyu Lin J. Schulze Yi Yao Giedrius Burachas 49 9 0 02 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 195 645 0 01 Jul 2020
Evaluation of Contemporary Convolutional Neural Network Architectures for Detecting COVID-19 from Chest Radiographs N. Albert 38 3 0 30 Jun 2020
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations Gabrielle Ras L. Ambrogioni Pim Haselager Marcel van Gerven Umut Gucclu 3DPC 16 3 0 29 Jun 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 77 18 0 29 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task Pratik Mazumder Pravendra Singh Vinay P. Namboodiri 72 9 0 29 Jun 2020
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors Ruihan Zhang Prashan Madumal Tim Miller Krista A. Ehinger Benjamin I. P. Rubinstein FAtt 103 106 0 27 Jun 2020
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks Rajat Saini N. Jha B. K. Das Sparsh Mittal C.Krishna Mohan 68 83 0 26 Jun 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 43 14 0 26 Jun 2020
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification Alberto Olmo Sailik Sengupta S. Kambhampati 58 6 0 26 Jun 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 118 66 0 26 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 126 79 0 25 Jun 2020
AReLU: Attention-based Rectified Linear Unit Dengsheng Chen Jun Li Kai Xu 81 20 0 24 Jun 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning Johnathon Shook Tryambak Gangopadhyay Linjian Wu Baskar Ganapathysubramanian Soumik Sarkar Asheesh K. Singh 67 138 0 24 Jun 2020
The color out of space: learning self-supervised representations for Earth Observation imagery Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu C. Ippoliti A. Conte Simone Calderara SSL 93 63 0 22 Jun 2020
Motion Representation Using Residual Frames with 3D CNN Li Tao Xueting Wang T. Yamasaki 3DPC 45 1 0 21 Jun 2020
Interpretation of 3D CNNs for Brain MRI Data Classification M. Kan Ruslan Aliev́ A. Rudenko Nikita Drobyshev Nikita Petrashen E. Kondrateva M. Sharaev A. Bernstein Evgeny Burnaev DiffM 31 0 0 20 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 97 31 0 19 Jun 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 75 98 0 19 Jun 2020
How does this interaction affect me? Interpretable attribution for feature interactions Michael Tsang Sirisha Rambhatla Yan Liu FAtt 75 88 0 19 Jun 2020
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19 Manu Siddhartha Avik Santra 46 44 0 19 Jun 2020
Deep Learning feature selection to unhide demographic recommender systems factors Jesús Bobadilla Ángel González-Prieto Fernando Ortega R. Lara-Cabrera 51 21 0 17 Jun 2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks Federico Baldassarre Kevin Smith Josephine Sullivan Hossein Azizpour 95 25 0 16 Jun 2020
A generalizable saliency map-based interpretation of model outcome Shailja Thakur S. Fischmeister AAML FAtt MILM 37 2 0 16 Jun 2020