Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets

Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets

29 July 2024

Muhammad Abdullah Jamal

Omid Mohareri

Papers citing "Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets"

5 / 5 papers shown

Title
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Hao Ding Tuxun Lu Yuqian Zhang Ruixing Liang Hongchao Shu ... Bo Wang Marcos Fernández-Rodríguez Estevao Lima João L. Vilaça Mathias Unberath 53 4 0 16 Jul 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video Jiacheng Wang Yueming Jin Liansheng Wang Shuntian Cai Pheng-Ann Heng Jing Qin 28 17 0 28 Sep 2021
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning Mobarakol Islam Daniel Anojan Atputharuban Ravikiran Ramesh Hongliang Ren MedIm 73 95 0 22 Jul 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015