SegNBDT: Visual Decision Rules for Segmentation

SegNBDT: Visual Decision Rules for Segmentation

11 June 2020

Sarah Adel Bargal

Joseph E. Gonzalez

Papers citing "SegNBDT: Visual Decision Rules for Segmentation"

19 / 19 papers shown

Title
NBDT: Neural-Backed Decision Trees Alvin Wan Lisa Dunlap Daniel Ho Jihan Yin Scott Lee Henry Jin Suzanne Petryk Sarah Adel Bargal Joseph E. Gonzalez 50 103 0 01 Apr 2020
Grid Saliency for Context Explanations of Semantic Segmentation Lukas Hoyer Mauricio Muñoz P. Katiyar Anna Khoreva Volker Fischer FAtt 125 49 0 30 Jul 2019
Visualizing the decision-making process in deep neural decision forest Shichao Li K. Cheng FAtt 33 6 0 19 Apr 2019
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 170 1,169 0 19 Jun 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 67 323 0 01 Feb 2018
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing Ke Gong Xiaodan Liang Dongyu Zhang Xiaohui Shen Liang Lin SSL 44 476 0 16 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 160 5,968 0 04 Mar 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Wenjie Luo Yujia Li R. Urtasun R. Zemel HAI 81 1,793 0 15 Jan 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 246 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
Network of Experts for Large-Scale Image Categorization Karim Ahmed M. H. Baig Lorenzo Torresani 65 126 0 20 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 875 11,587 0 06 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 854 16,891 0 16 Feb 2016
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation D. L. Richmond Dagmar Kainmüller M. Yang E. Myers Carsten Rother SSeg 96 14 0 27 Jul 2015
Image Segmentation Using Hierarchical Merge Tree Ting Liu Mojtaba Seyedhosseini Tolga Tasdizen 34 47 0 24 May 2015
Deep Hierarchical Parsing for Semantic Segmentation Abhishek Sharma Oncel Tuzel David Jacobs 53 116 0 09 Mar 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 214 4,665 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 244 7,279 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 441 15,861 0 12 Nov 2013