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DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World
  Domain Adaptation of Semantic Segmentation

DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation

30 January 2021
Haruya Sakashita
Christoph Flothow
Noriko Takemura
Yusuke Sugano
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Papers citing "DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation"

2 / 2 papers shown
Title
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
790
0
26 Aug 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
451
15,657
0
02 Nov 2015
1