HuiminWuHuiminWu
HuiminWuHuiminWu
It is a very nice work. Thank you so much for your contribution. Is it possible to release scripts for few-supervision on PASCAL VOC 2012, too?
Hi, Thank you so much for your contribution. This works is very interesting and your code is easy for me to follow. But one of the downstream dataset, voxforge is...
Hi thank you for your contribution. The problem I have when running the MNIST_example.ipynb is that it gives me a runtime error: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED. I install the same environment...
train.py
Hi, thank you so much for your contribution. Could you please also release train.py?
Hi, thank you a lot for your contribution. I cannot reproduce the results shown in your paper on spleen dataset. Under 5%, 10% and 50% labeled setting, the final training...
- Area: Self-supervised Learning; Data Augmentation; 3D Point Cloud - Title: Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning - Paper: https://arxiv.org/abs/2212.08663 - Code: https://github.com/microsoft/random_quantize
Thank you a lot for your contribution. However, I find several pickle files used in 'Action-Localization-master/action-transformer/data/ava.py' confusing, such as '**ori_action_list.pkl'** and '**fps_dict.pkl'**. Can you show me how you created these...
Hi, thank you a lot for your contribution. May I know which training script correspond to your work "Deep Co-Training for Semi-Supervised Image Segmentation"? Thank you so much for your...
Dear authors, Thank you a lot for releasing the code for this work! Could you please specify where to find the pre-trained checkpoints? Many thanks. Best