jinsheng.chen

Question about skip

3

I want to ask the **skip** in **pruning.py**. Why choose these layer to prune? Cause I want to prune my own resnet101 and I wonder if there are any rules...

Hi, I noticed that in your paper on Table 5. The original embedding is 1536, but you reduce this dimension to 768/512 afterwards. I want to know that which method...

shape is: torch.Size([3, 448, 448]) torch.Size([1, 25000]) torch.Size([25000, 3]) Traceback (most recent call last): File "ctpn_train.py", line 105, in loss_cls = critetion_cls(out_cls, clss) File "/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in __call__ result...

Pretrained model

2

Sorry but where can I download the pretrained model, or which version do I need?