Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

ASTER is not end-to-end in the normal sense #5

Open
jdhao opened this issue Aug 6, 2019 · 2 comments
Open

ASTER is not end-to-end in the normal sense #5

jdhao opened this issue Aug 6, 2019 · 2 comments

Comments

@jdhao
Copy link

jdhao commented Aug 6, 2019

End-to-end recognition means that the whole image is feed into the network and the network will output the recognition result for the whole image.

The input image to the network in ASTER is not the whole image, but a small part containing the warped text. I think it is more proper to call ASTER a recognition algorithm which can deal with irregular text images.

@hwalsuklee
Copy link
Owner

Thank you for pointing out.

As you mentioned, ASTER is a recognition algorithm.
So you can see ASTER in 'Text Recognition' part.

However, A paper of ASTER also showed end-2-end performance for 2 stage approach, ASTER (recognition) followed by TextBoxes (detector).

That's why I added ASTER in 'End-to-End Text Recognition' part also.
Please see TABLE 8 in ASTER paper. (http://122.205.5.5:8071/UpLoadFiles/Papers/ASTER_PAMI18.pdf)

@jdhao
Copy link
Author

jdhao commented Aug 6, 2019

But Table 8 can not justify that ASTER is an end-to-end method. It is coupled with TextBoxes. ASTER is just used for recognizing the text boxes.

End-to-end method means that the detection and recognition are performed by a single method, not cascading of two different methods from two different papers.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants