Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
Networks

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

3 October 2019

Bradley Alexander

Fan Yang

Papers citing "Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks"

15 / 165 papers shown

Title
Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 41 17 0 13 May 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 131 33 0 20 Apr 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks Qing-Long Zhang Lu Rao Yubin Yang 16 58 0 25 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 35 25 0 20 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Xia Hu 59 105 0 11 Mar 2021
Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detection Meiling Fang Naser Damer Florian Kirchbuchner Arjan Kuijper CVBM AAML PICV 33 46 0 02 Mar 2021
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde Juana Valeria Hurtado Abhinav Valada 26 72 0 01 Mar 2021
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation Shaohua Zheng Zhiqiang Shen Chenhao Pei Wangbin Ding Haojin Lin Jie-xuan Zheng Lin Pan Bin Zheng Liqin Huang 21 25 0 22 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 26 18 0 10 Dec 2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers Rajat Sharma N. Reddy V. Kamakshi N. C. Krishnan Shweta Jain FAtt 27 7 0 03 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 38 79 0 17 Sep 2020
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM Guohao Yu A. Zare Weihuang Xu R. Matamala J. Reyes‐Cabrera F. Fritschi T. Juenger 14 12 0 30 Jul 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 30 79 0 25 Jun 2020
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 34 70 0 08 Sep 2019