LRTD: Long-Range Temporal Dependency based Active Learning for Surgical
Workflow Recognition

LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition

21 April 2020

Pheng-Ann Heng

Papers citing "LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition"

5 / 5 papers shown

Title
Correlation-aware active learning for surgery video segmentation Fei Wu Pablo Márquez-Neila Mingyi Zheng Hedyeh Rafii-Tari Raphael Sznitman 31 3 0 15 Nov 2023
A comprehensive survey on recent deep learning-based methods applied to surgical data Mansoor Ali Rafael Martinez Garcia Peña Gilberto Ochoa-Ruiz Sharib Ali 12 6 0 03 Sep 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis Dominik Rivoir Isabel Funke Stefanie Speidel 19 15 0 15 Mar 2022
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows Yutong Ban Guy Rosman Thomas M. Ward Daniel A. Hashimoto Taisei Kondo Hidekazu Iwaki O. Meireles Daniela Rus 28 19 0 01 Sep 2020
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