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  1. White Blood Cell Semantic Segmentation: Mask2Former model trained on WBCAtt+ dataset

    Jupyter Notebook

  2. WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images. Medical Image Analysis. 2026.

    Python

  3. WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes (NeurIPS 2023)

    Python 26 3

  4. Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition (NeurIPS 2019 & PAMI 2022)

    Python 32 4

  5. Minimizing Supervision for Free-space Segmentation (CVPR 2018 Workshop)

    Jupyter Notebook 7

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