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Question about training Tnet model only using real data

19

Have you ever tried to train Tnet only using real data(using unsupervised training)? I am curious if it is possible to converge. Thanks

Sanster

Question about joint training

1

I'm trying to implement joint training of PaperEdge. Although PaperEdge's Supplementary Material mentions joint training did get further improvement, in my opinion, end-to-end training is more practical from a practical...

Sanster

doc3d dataset 403 forbidden

2

Hello, thank you for contributing such an excellent work. Excuse me, I have already applied for a username and password of doc3d dataset. I tried to download the doc3d dataset,...

cjt222

could you please offer more info for rookies like me to run the code?

5

i'm new to deep learning and recently i become recently interested in paper dewarping. i've read some papers from your lab. i'm eager to test your amazing work on my...

1benwu1

您好，能问一下文档bgtex.txt中的图片对应的是什么数据集吗？ /nfs/bigretina/kema/data/dtd/images/perforated/perforated_0103.jpg /nfs/bigretina/kema/data/dtd/images/perforated/perforated_0089.jpg /nfs/bigretina/kema/data/dtd/images/perforated/perforated_0015.jpg /nfs/bigretina/kema/data/dtd/images/perforated/perforated_0069.jpg /nfs/bigretina/kema/data/dtd/images/perforated/perforated_0144.jpg 有关于这部分数据的链接吗？

dpxudong

I wonder if you can provide Enet and Tnet trained only on the Doc3D dataset? I want to conduct a comparative experiment with my model.

songzr0

Question about 'Enet (Doc3D + DIW) + Tnet (Doc3D + DIW)' pipeline

2

Hi, May I ask how do you implement the Enet (Doc3D + DIW) + Tnet (Doc3D + DIW) pipeline with the training functions? I already run through the training model...

Noah2018

Question about train.py

2

usage: train.py [-h] --config CONFIG train.py: error: the following arguments are required: --config Hello, I am a student who has just started self-study. This problem has troubled me for a...

JiangY03

Why should we train NetL separately in train_L_step_w

1

In the function `train_L_step_w`, line 192, in `train.py`, we the gradients of loss are firstly propagated to NetL with Doc3D data set. Then in the gradients are propagated to NetL...

itapty-ily

could you please tell us something about the training?

3

before this, i've asked you about how to run the eval.py . now i want to run the training script with only DIW dataset, but there us something wrong. here...

1benwu1