Source-Free Open Compound Domain Adaptation in Semantic Segmentation

7 June 2021

Papers citing "Source-Free Open Compound Domain Adaptation in Semantic Segmentation"

9 / 9 papers shown

Title
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification A. Chaddad Yihang Wu Yuchen Jiang Ahmed Bouridane Christian Desrosiers 40 1 0 15 Feb 2025
Generative Domain Adaptation for Face Anti-Spoofing Qianyu Zhou Ke-Yue Zhang Taiping Yao Ran Yi Kekai Sheng Shouhong Ding Lizhuang Ma CVBM 14 48 0 20 Jul 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 201 848 0 15 Oct 2021
RECALL: Replay-based Continual Learning in Semantic Segmentation Andrea Maracani Umberto Michieli Marco Toldo Pietro Zanuttigh VLM CLL 23 97 0 08 Aug 2021
Visualizing Adapted Knowledge in Domain Transfer Yunzhong Hou Liang Zheng 103 52 0 20 Apr 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 164 494 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 202 783 0 26 Aug 2019
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 204 1,105 0 24 Oct 2016