FuseVis: Interpreting neural networks for image fusion using per-pixel
saliency visualization

FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization

6 December 2020

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Papers citing "FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization"

18 / 18 papers shown

Title
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas Nishant Kumar Nico Hoffmann M. Kirsch Stefan Gumhold MedIm 36 3 0 26 Jan 2020
Structural Similarity based Anatomical and Functional Brain Imaging Fusion Nishant Kumar Nico Hoffmann M. Oelschlägel E. Koch M. Kirsch Stefan Gumhold MedIm 25 15 0 11 Aug 2019
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion Boyuan Ma Xiaojuan Ban Haiyou Huang Yu Zhu 46 199 0 05 Aug 2019
Unsupervised Deep Multi-focus Image Fusion X. Yan Syed Zulqarnain Gilani Hanlin Qin Ajmal Mian 65 44 0 19 Jun 2018
DenseFuse: A Fusion Approach to Infrared and Visible Images Hui Li Xiaojun Wu 147 1,266 0 23 Apr 2018
Generating a Fusion Image: One's Identity and Another's Shape Donggyu Joo Doyeon Kim Junmo Kim GAN 56 35 0 20 Apr 2018
Infrared and Visible Image Fusion using a Deep Learning Framework Hui Li Xiaojun Wu J. Kittler 39 415 0 19 Apr 2018
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs K. Prabhakar V. S. Srikar R. Venkatesh Babu 47 545 0 20 Dec 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 76 1,520 0 11 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 201 3,873 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 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 315 20,023 0 07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Efficient Per-Example Gradient Computations Ian Goodfellow 257 75 0 07 Oct 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,672 0 21 Dec 2014
Medical Image Fusion: A survey of the state of the art A. P. James B. Dasarathy MedIm 82 877 0 31 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013

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