Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation

27 December 2021

Papers citing "Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation"

8 / 8 papers shown

Title
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures Kun Yuan V. Srivastav Tong Yu Joël L. Lavanchy Pietro Mascagni Pietro Mascagni N. Padoy Nicolas Padoy 27 20 0 27 Jul 2023
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh V. Srivastav Deepak Alapatt Tong Yu Aditya Murali ... Saurav Sharma A. Fleurentin Georgios Exarchakis Alexandros Karargyris N. Padoy 23 42 0 01 Jul 2022
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation Bowen Wang Liangzhi Li Yuta Nakashima R. Kawasaki Hajime Nagahara Y. Yagi 41 25 0 19 Oct 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,529 0 20 Aug 2019
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 233 2,056 0 07 Jun 2016
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 173 840 0 09 Feb 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015