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Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation

Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation

12 April 2022
Yahao Liu
Jinhong Deng
Jiale Tao
Tong Chu
Lixin Duan
Wen Li
ArXivPDFHTML

Papers citing "Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation"

7 / 7 papers shown
Title
Lift, Splat, Map: Lifting Foundation Masks for Label-Free Semantic Scene
  Completion
Lift, Splat, Map: Lifting Foundation Masks for Label-Free Semantic Scene Completion
Arthur Zhang
Rainier Heijne
Joydeep Biswas
26
1
0
03 Jul 2024
Federated Class-Incremental Learning
Federated Class-Incremental Learning
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Xiao Wang
Qi Zhu
CLL
FedML
22
167
0
22 Mar 2022
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
174
496
0
08 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection
Unbiased Mean Teacher for Cross-domain Object Detection
Jinhong Deng
Wen Li
Yuhua Chen
Lixin Duan
73
286
0
02 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
216
789
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
190
3,516
0
20 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
435
15,631
0
02 Nov 2015
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