VisualBackProp: efficient visualization of CNNs

VisualBackProp: efficient visualization of CNNs

16 November 2016

Mariusz Bojarski

A. Choromańska

Bernhard Firner

Papers citing "VisualBackProp: efficient visualization of CNNs"

10 / 10 papers shown

Title
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 21 32 0 27 Jun 2022
Towards Safe, Explainable, and Regulated Autonomous Driving Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 26 11 0 20 Nov 2021
Decoding CNN based Object Classifier Using Visualization Abhishek Mukhopadhyay Imon Mukherjee P. Biswas 14 3 0 15 Jul 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network Jinkyu Kim Mayank Bansal 19 13 0 08 May 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 35 120 0 26 Mar 2020
Explainable Object-induced Action Decision for Autonomous Vehicles Yiran Xu Xiaoyin Yang Lihang Gong Hsuan-Chu Lin Tz-Ying Wu Yunsheng Li Nuno Vasconcelos 22 104 0 20 Mar 2020
Grounding Human-to-Vehicle Advice for Self-driving Vehicles Jinkyu Kim Teruhisa Misu Yi-Ting Chen Ashish Tawari John F. Canny 14 99 0 16 Nov 2019
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation Devansh Bisla A. Choromańska J. Stein D. Polsky R. Berman MedIm 18 17 0 16 Feb 2019
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception Zhengyuan Yang Yixuan Zhang Jerry Yu Junjie Cai Jiebo Luo 16 154 0 20 Jan 2018
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car Mariusz Bojarski Philip Yeres A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller 19 400 0 25 Apr 2017