Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions

Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions

4 February 2019

Alexandros Stergiou

Grigorios Kalliatakis

Papers citing "Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions"

12 / 12 papers shown

Title
Hierarchical Explanations for Video Action Recognition Sadaf Gulshad Teng Long Nanne van Noord FAtt 29 6 0 01 Jan 2023
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models Atsushi Kikuchi Kotaro Uchida Masaki Waga Kohei Suenaga FAtt 26 1 0 31 Oct 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 58 0 0 27 Jul 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks Tomoki Uchiyama Naoya Sogi S. Iizuka Koichiro Niinuma Kazuhiro Fukui 24 2 0 26 Jul 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 24 7 0 09 Jun 2022
Gate-Shift-Fuse for Video Action Recognition Swathikiran Sudhakaran Sergio Escalera Oswald Lanz 22 22 0 16 Mar 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 31 9 0 06 Dec 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 24 2 0 01 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 18 302 0 01 Nov 2021
CT-Net: Channel Tensorization Network for Video Classification Kunchang Li Xianhang Li Yali Wang Jun Wang Yu Qiao ViT 22 55 0 03 Jun 2021
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models Liam Hiley Alun D. Preece Y. Hicks Supriyo Chakraborty Prudhvi K. Gurram Richard J. Tomsett FAtt 25 14 0 31 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017