A Taxonomy and Library for Visualizing Learned Features in Convolutional
Neural Networks

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks

24 June 2016

Christian Rupprecht

Nassir Navab

Federico Tombari

Papers citing "A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks"

7 / 7 papers shown

Title
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 20 1 0 09 May 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 24 160 0 22 Dec 2022
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 34 210 0 17 Oct 2017
An Analysis of Human-centered Geolocation Kaili Wang Yu-Hui Huang José Oramas Luc Van Gool Tinne Tuytelaars 21 6 0 10 Jul 2017
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012