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BinhuiXie/README.md

Hi there 👋

I am a researcher in computer vision and machine learning. My current interests are in transfer learning and data-efficient learning (particularly domain adaptation, active learning) and self-supervised learning across visual tasks and domains.

See my HomePage or Google Scholar for more about me and my research. :)

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  1. BIT-DA/Annotator BIT-DA/Annotator Public

    [NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation

    Python 32 1

  2. BIT-DA/SePiCo BIT-DA/SePiCo Public

    [TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808

    Python 120 7

  3. BIT-DA/RIPU BIT-DA/RIPU Public

    [CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

    Python 152 20

  4. BIT-DA/EADA BIT-DA/EADA Public

    [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

    Python 91 12

  5. BIT-DA/GDCAN BIT-DA/GDCAN Public

    [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

    Python 44 11

  6. BIT-DA/SDCA BIT-DA/SDCA Public

    Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013

    Python 37 6