A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation

16 July 2018

Papers citing "A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation"

4 / 4 papers shown

Title
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning Zixuan Zheng Yilei Shi Chunlei Li Jingliang Hu Xiao Xiang Zhu Lichao Mou 48 0 0 19 Mar 2025
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming Pierangela Bruno Francesco Calimeri Cinzia Marte S. Perri 19 0 0 22 Oct 2023
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,059 0 07 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015