Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation

24 January 2019

Papers citing "Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation"

6 / 6 papers shown

Title
Striking the Right Balance: Recall Loss for Semantic Segmentation Junjiao Tian Niluthpol Chowdhury Mithun Zachary Seymour Han-Pang Chiu Z. Kira 11 31 0 28 Jun 2021
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu Rong Jin W. Yin Tianbao Yang ODL 31 12 0 13 Dec 2020
Posterior Re-calibration for Imbalanced Datasets Junjiao Tian Yen-Cheng Liu Nathan Glaser Yen-Chang Hsu Z. Kira 21 62 0 22 Oct 2020
Reinforced active learning for image segmentation Arantxa Casanova Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal 21 108 0 16 Feb 2020
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network Kaite Xiang Kaiwei Wang Kailun Yang 27 9 0 26 Jul 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015