Semi-Supervised Convolutional Neural Networks for Human Activity
Recognition

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition

22 January 2018

Ole J. Mengshoel

Papers citing "Semi-Supervised Convolutional Neural Networks for Human Activity Recognition"

8 / 8 papers shown

Title
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation Sungho Suh Vitor Fortes Rey P. Lukowicz 30 55 0 14 Sep 2022
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition Yinghao Xu Fangyun Wei Xiao Sun Ceyuan Yang Yujun Shen Bo Dai Bolei Zhou Stephen Lin VLM 33 52 0 17 Dec 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 296 0 31 Oct 2021
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition Sungho Suh Vitor Fortes Rey P. Lukowicz AAML 48 10 0 23 Oct 2021
Multiview Pseudo-Labeling for Semi-supervised Learning from Video Bo Xiong Haoqi Fan Kristen Grauman Christoph Feichtenhofer SSL 22 49 0 01 Apr 2021
t-EVA: Time-Efficient t-SNE Video Annotation Soroosh Poorgholi O. Kayhan Jan van Gemert 16 5 0 26 Nov 2020
Semi-supervised sequence classification through change point detection Nauman Ahad Mark A. Davenport SSL AI4TS 27 7 0 24 Sep 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities Kaixuan Chen Dalin Zhang Lina Yao Bin Guo Zhiwen Yu Yunhao Liu HAI 42 621 0 21 Jan 2020