BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models

31 October 2022

Papers citing "BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models"

21 / 21 papers shown

Title
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison Lukas Brunke Prateek Agrawal Nikhil George AAML FAtt 48 13 0 26 Jan 2021
Play Fair: Frame Attributions in Video Models Will Price Dima Damen FAtt 46 5 0 24 Nov 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels Xiangwei Shi Seyran Khademi Yun-qiang Li Jan van Gemert VLM WSOL 65 19 0 16 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 39 3 0 06 Oct 2020
Black-Box Saliency Map Generation Using Bayesian Optimisation Mamuku Mokuwe Michael G. Burke Anna Sergeevna Bosman FAtt 28 4 0 30 Jan 2020
Sanity Checks for Saliency Metrics Richard J. Tomsett Daniel Harborne Supriyo Chakraborty Prudhvi K. Gurram Alun D. Preece XAI 67 169 0 29 Nov 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 78 330 0 19 Jun 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo Sunghwan Joo Taesup Moon AAML FAtt 88 202 0 06 Feb 2019
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions Alexandros Stergiou G. Kapidis Grigorios Kalliatakis C. Chrysoulas R. Veltkamp R. Poppe FAtt 49 47 0 04 Feb 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 123 1,963 0 08 Oct 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 172 1,169 0 19 Jun 2018
Excitation Backprop for RNNs Sarah Adel Bargal Andrea Zunino Donghyun Kim Jianming Zhang Vittorio Murino Stan Sclaroff 117 48 0 18 Nov 2017
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 124 865 0 29 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 889 21,815 0 22 May 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 219 7,989 0 22 May 2017
The Kinetics Human Action Video Dataset W. Kay João Carreira Karen Simonyan Brian Zhang Chloe Hillier ... Tim Green T. Back Apostol Natsev Mustafa Suleyman Andrew Zisserman 222 3,796 0 19 May 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 254 19,929 0 07 Oct 2016
Top-down Neural Attention by Excitation Backprop Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff 79 947 0 01 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 943 16,931 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 227 9,298 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015