Semi-Supervised Domain Adaptation

• 2019

  1. 
     

• 2020

• 2021

• 2022

  1. https://openaccess.thecvf.com/content/WACV2022/papers/Yoon_Semi-Supervised_Domain_Adaptation_via_Sample-to-Sample_Self-Distillation_WACV_2022_paper.pdf

  2. https://arxiv.org/pdf/2209.01881.pdf

Multiple Views

Data Augmentation

• Deep AutoAugment (https://assets.amazon.science/d8/2f/98d61b8e4920a20d788de1cf8835/deep-autoaugment.pdf)

• Auto Augmented (https://arxiv.org/abs/1805.09501)

• https://arxiv.org/abs/1805.09501

• https://openreview.net/forum?id=St-53J9ZARf

• MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation (ECCV 2022)

Memory

Prototype

Representation Learning (Feature Learning)

• Domain Invariant Representation Learning with Domain Density Transformations

Energy-based

• Active Learning for Domain Adaptation: An Energy-based Approach (AAAI-2021)

Active Learning

Graph Library

• https://github.com/dmlc/dgl

• https://github.com/dmlc/GNNLens2

• https://github.com/dmlc/gluon-nlp

• https://www.dgl.ai/

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Attention Based

• Dual Attention Network for Scene Segmentation (CVPR2019)

• https://github.com/junfu1115/DANet

• https://openaccess.thecvf.com/content/CVPR2022/papers/Lang_Learning_What_Not_To_Segment_A_New_Perspective_on_Few-Shot_CVPR_2022_paper.pdf