You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I trained two text recognition models (my own data) using following repos:
[1] clovaai/deep-text-recognition-benchmark
[2] roatienza/deep-text-recognition-benchmark
but [1] got better accuracy ([1] accuracy: 0.94, [2] accuracy: 0.85)
Is there any performance comparison with [1] on open dataset?
Is there any suggestion that I need to aware?
Thanks a lot.
The text was updated successfully, but these errors were encountered:
There are various techniques that can be used to improve the performance of transformer based models. The simplest is training on a large dataset to overcome the lack of inductive bias in transformers. There are many large synthetic STR datasets that you can use to do this.
Hi, I trained two text recognition models (my own data) using following repos:
[1] clovaai/deep-text-recognition-benchmark
[2] roatienza/deep-text-recognition-benchmark
but [1] got better accuracy ([1] accuracy: 0.94, [2] accuracy: 0.85)
Is there any performance comparison with [1] on open dataset?
Is there any suggestion that I need to aware?
Thanks a lot.
The text was updated successfully, but these errors were encountered: