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D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic
  Segmentation

D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation

14 February 2022
Tsung-Han Wu
Yi-Syuan Liou
Shaojie Yuan
Hsin-Ying Lee
Tung-I Chen
Kuan-Chih Huang
Winston H. Hsu
ArXivPDFHTML

Papers citing "D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation"

8 / 8 papers shown
Title
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation
  Segmentation
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Munan Ning
Donghuan Lu
Yujia Xie
Dongdong Chen
Dong Wei
Yefeng Zheng
Yonghong Tian
Shuicheng Yan
Liuliang Yuan
6
9
0
18 Jan 2023
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Qianyu Zhou
Zhengyang Feng
Qiqi Gu
Jiangmiao Pang
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
46
97
0
08 Aug 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
90
119
0
16 Oct 2020
Differential Treatment for Stuff and Things: A Simple Unsupervised
  Domain Adaptation Method for Semantic Segmentation
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
173
232
0
18 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
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
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
202
783
0
26 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
170
3,480
0
20 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
9,042
0
06 Jun 2015
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