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A PyTorch Library for Multi-Task Learning
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Updated
Jul 22, 2022
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Python
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
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Jul 12, 2022
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Python
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
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Jun 30, 2022
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Python
An up-to-date list of works on Multi-Task Learning
Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
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May 1, 2022
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Jupyter Notebook
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Visual Representation Learning over Latent Domains - ICLR 2022
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Mar 16, 2022
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Python
Training Multi-Domain Neural Machine Translation
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Jun 8, 2022
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Python
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您好，谢谢您的代码。我在测试best.pt文件时遇见了递归错误，请问您该如何解决。具体报错如下
$ python3 main.py -d ../runs -r GU2Net -p test -C config.yaml -m gln -l u2net -n cephalometric -c best.pt
Traceback (most recent call last):
File "/home/jgzn/PycharmProjects/YOLO/YOLO_Universal_Anatomical_Landmark_Detection-main/universal_landmark_detection/model/utils/yamlConfig.py", line 105, in update_config
update_config(val, args)
F