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ldkong1205 avatar

ldkong1205/TranSVAE

0
View on GitHub↗
120 stars·8 forks·Jupyter Notebook·10 viewsldkong.com/TranSVAE↗

TranSVAE

[NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Features

  • Video Domain Adaptation - Disentanglement-based approach for unsupervised video domain adaptation.

Star history

Star history chart for ldkong1205/transvaeStar history chart for ldkong1205/transvae

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with TranSVAE

These projects share indexed features with TranSVAE. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • avijit9/cleanadaptavijit9 avatar

    avijit9/CleanAdapt

    13View on GitHub↗

    Code for our Source-free Unsupervised Video Domain Adaptation Paper

    Python
    View on GitHub↗13
  • cmhungsteve/sstdacmhungsteve avatar

    cmhungsteve/SSTDA

    157View on GitHub↗

    CVPR 2020 Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

    Python
    View on GitHub↗157
  • olivesgatech/ta3nolivesgatech avatar

    olivesgatech/TA3N

    45View on GitHub↗

    ICCV 2019 Oral TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

    Python
    View on GitHub↗45
  • reddyav1/unitereddyav1 avatar

    reddyav1/unite

    5View on GitHub↗

    CVPR 2024 Code for UNITE, an unsupervised approach for video domain adaptation (https://arxiv.org/abs/2312.02914)

    Python
    View on GitHub↗5
Compare all 7 related projects→

Frequently asked questions

What does ldkong1205/transvae do?

[NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

What are the main features of ldkong1205/transvae?

The main features of ldkong1205/transvae are: Video Domain Adaptation.

Which projects share features with ldkong1205/transvae?

Projects with overlapping indexed features include: avijit9/cleanadapt — Code for our Source-free Unsupervised Video Domain Adaptation Paper. cmhungsteve/sstda — [CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch). olivesgatech/ta3n — [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo). reddyav1/unite — [CVPR 2024] Code for UNITE, an unsupervised approach for video domain adaptation (https://arxiv.org/abs/2312.02914). xuyu0010/atcon — Repository for ECCV 2022 paper "Source-free Video Domain Adaptation by Learning Temporal Consistency for Action… xuyu0010/awesome-video-domain-adaptation — A comprehensive collection of awesome research and other items about video domain adaptation.