jingliang95

Results 4 issues of jingliang95

This is a very great work. Thanks a lot Could you also share the dataloader and experimental setting (like crop size and so on) for dataset UCF-CC-50? Currently, I am...

Using the code, I observe very big experimental randomness. For example, on QNRF dataset, I obtain results on test set as follows (MAE and MSE): **run 1**: 87.621, 149.75 **run...

Thanks for sharing this small part of the data. I load png in folder segment_semantic, the distinct label values go from 0,1,2,..., 17. So there should be **18** classes. However,...

Thanks for your great work. I am wondering how you compute the metrics reported in the paper. Did you use the file [evaluate_lr.py](https://github.com/csvt32745/FTP-VM/blob/main/evalutation/evaluate_lr.py) to compute all the metric (MSE, MAD,...