Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in
Scene Segmentation

Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation

29 March 2021

Yi Yang

Papers citing "Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation"

12 / 12 papers shown

Title
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation Anant Khandelwal 26 1 0 10 Aug 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Chuanglu Zhu Kebin Liu Wenqi Tang Ke Mei Jiaqi Zou Tiejun Huang 57 1 0 14 Feb 2023
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection Yuhe Ding Jian Liang Bo Jiang A. Zheng Ran He 3DPC 34 8 0 09 Feb 2023
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization Yuyang Zhao Zhun Zhong Na Zhao N. Sebe G. Lee 37 29 0 18 Dec 2022
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation Mu Chen Zhedong Zheng Yi Yang Tat-Seng Chua 53 53 0 14 Nov 2022
Source-Free Open Compound Domain Adaptation in Semantic Segmentation Yuyang Zhao Zhun Zhong Zhiming Luo G. Lee N. Sebe TTA 40 88 0 07 Jun 2021
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation Zhonghao Wang Mo Yu Yunchao Wei Rogerio Feris Jinjun Xiong Wen-mei W. Hwu Thomas S. Huang Humphrey Shi OOD 189 232 0 18 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 191 497 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 790 0 26 Aug 2019
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 165 350 0 23 Apr 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 273 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015