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domain-adaptation

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hnuzhy / CV_DL_Gather

Star 51

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

machine-learning deep-learning codes object-detection transfer-learning papers super-resolution knowledge-distillation action-recognition multi-object-tracking domain-adaptation model-compression single-person-pose-estimation multi-person-pose-estimation
  • Updated Jun 12, 2024

EnnengYang / Awesome-Forgetting-in-Deep-Learning

Star 171

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

machine-learning reinforcement-learning deep-learning generative-model domain-adaptation meta-learning overfitting machine-unlearning federated-learning continual-learning catastrophic-forgetting self-supervised-learning model-inversion-attacks forgetting membership-inference-attacks coreset-selection data-free-knolwedge-distillation property-inference-attacks model-attacks beneficial-forgetting
  • Updated Jun 12, 2024

DmitryRyumin / ICASSP-2023-24-Papers

Star 261

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

signal-processing language-modeling speech-recognition image-generation vad face-recognition music-generation keyword-spotting semantic-segmentation asr denoising icassp domain-adaptation generative-models multimodal-learning spoken-language-understanding self-supervised-learning signal-restoration icassp2023 icassp2024
  • Updated Jun 12, 2024
  • Python
OnDA

theo2021 / OnDA

Star 27

Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.

machine-learning ml pytorch online-learning domain-adaptation catastrophic-forgetting unsupervised-domain-adaptation online-adaptation
  • Updated Jun 11, 2024
  • Python

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