SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation

10 August 2023

Papers citing "SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation"

8 / 8 papers shown

Title
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing Anant Khandelwal 20 2 0 24 Oct 2023
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data Hien Dang Tho Tran T. Nguyen Hung The Tran Nhat Ho Hung Tran 35 28 0 01 Jan 2023
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 46 44 0 01 Nov 2022
Context-Aware Mixup for Domain Adaptive Semantic Segmentation Qianyu Zhou Zhengyang Feng Qiqi Gu Jiangmiao Pang Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 71 129 0 08 Aug 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation Xinyi Wu Zhenyao Wu Haojie Guo L. Ju Song Wang 99 143 0 22 Apr 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 188 250 0 11 Feb 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 180 497 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019