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Source-Free Domain Adaptation for RGB-D Semantic Segmentation with
  Vision Transformers

Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers

23 May 2023
Giulia Rizzoli
Donald Shenaj
Pietro Zanuttigh
    ViT
ArXivPDFHTML

Papers citing "Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers"

3 / 3 papers shown
Title
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh
Mohammad Reza Mohammadi
Mohammad Reza Jahed Motlagh
ViT
59
5
0
31 Dec 2024
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
129
210
0
07 Oct 2021
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
207
783
0
26 Aug 2019
1