Comments (10)
I have two related questions as well:
- Is the "moving state" S the deltas between src_pts and dst_pts
(src_pts - dst_pts)
which contains2(N+1)
points? - Is the loss function for joint learning cross-entropy loss? If so, what is the representation of GT for this loss function?
Any explanation/idea/suggestion/discussion is welcomed :)
from text-image-augmentation.
@DongfeiJi
This version is the default random augmentation. We guess it is sufficient for practical use.
from text-image-augmentation.
- The "moving state" denotes the moving directions.
- Yes, we use cross-entropy loss. The GT is the moving state that increases difficulty.
from text-image-augmentation.
@Canjie-Luo
I read the paper Learn to Augment: Joint Data Augmentation and Network Optimization
for Text Recognition.
and I'm so interested in joint training (Algorithm 1 Joint Learning Scheme),can I ask for the whole code of paper?There is something I can't understand and I want to retrain it .I'll appreciate it very much .Here's my email [email protected]
from text-image-augmentation.
I have some questions about the paper.
- Output size of the agent network is 2x(N+1)x2x2. Isn't just two coordinates enough to predict the direction of each point?
- In Algorithm 1, randomly select one point in S and switch to the opposite direction to make S prime. Does this mean choosing one moving state in a mini-batch?
from text-image-augmentation.
I read the paper Learn to Augment: Joint Data Augmentation and Network Optimization
for Text Recognition.
and I'm so interested in joint training (Algorithm 1 Joint Learning Scheme),can I ask for the whole code of paper?
my email: [email protected]
from text-image-augmentation.
@shubham303
Have you got the code?
I would be glad to get joint training code as well.
my email: [email protected]
Thanks in advance!
from text-image-augmentation.
@shubham303
I would really appreciate if you can share that code with me!
my email: [email protected]
Thanks :)
from text-image-augmentation.
@matiascoronados I don't have the code.
from text-image-augmentation.
Hey guys, due to the intellectual property protocol, I cannot release the code.
from text-image-augmentation.
Related Issues (13)
- I got 'float point exception: core dumped' transforming pics of short cols. HOT 2
- Why oldDotL are set by DstPoints ? HOT 1
- running into problems during make HOT 2
- About the agent updating and initialization HOT 1
- 作者您好,请问能否提供联合训练部分的代码?识别网络和代理网络是同步训练的吗?
- CMake fail HOT 5
- floating point exception (core dumped) when process images with different size HOT 3
- i got some trouble in 'make' HOT 4
- 您好作者,这个东西工程要怎么改才可以支持python3(自己装boost确实困难重重,.so的动态模块导入,python3会报错) HOT 12
- cmake problem HOT 6
- Is this project still in development? HOT 1
- undefined symbol: _ZN2cv6formatB5cxx11EPKcz HOT 8
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