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Han et al.|Co-teaching: robust training of deep neural networks with extremely noisy labels|[Coteaching](https://github.com/HiLab-git/WCODE-PIA/tree/main/wcode/training/Trainers/Weakly/Incomplete_Learning/ReCo_I2P)|[NeurIPS2018](https://proceedings.neurips.cc/paper/2018/hash/a19744e268754fb0148b017647355b7b-Abstract.html)|\n|**IA**|C. Fang et al.|Reliable Mutual Distillation for Medical Image Segmentation Under Imperfect Annotations|[RMD](https://github.com/HiLab-git/WCODE-PIA/tree/main/wcode/training/Trainers/Weakly/NLL/RMD)|[TMI2023](https://ieeexplore.ieee.org/abstract/document/10021263)|\n|**IA**|T. Weng et al.|Accurate Segmentation of Optic Disc and Cup from Multiple Pseudo-labels by Noise-aware Learning|[MPNN](https://github.com/HiLab-git/WCODE-PIA/tree/main/wcode/training/Trainers/Weakly/NLL/MPNN)|[CSCWD2024](https://ieeexplore.ieee.org/abstract/document/10580087)|\n|**IC**|C. Liu et al.|AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation|None|[TGRS2024](https://ieeexplore.ieee.org/abstract/document/10460569)\n|**IC**|H. Zhou et al.|Unsupervised domain adaptation for histopathology image segmentation with incomplete labels|None|[CBM2024](https://www.sciencedirect.com/science/article/abs/pii/S001048252400310X)|\n\n\u003c!-- --- --\u003e\n\u003c!-- ## ⛺ Discussion of the task setting and general usage --\u003e\n\n\n---\n## ✉️ Contact\n--- Email: litingyuwang@gmail.com","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhilab-git%2Fwcode-pia","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhilab-git%2Fwcode-pia","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhilab-git%2Fwcode-pia/lists"}