Open LLC opened 3 years ago
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.