handwritten text recognition on IAM handwriting dataset

A pytorch implementation of the attention based ocr

Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)

Scene Text Recognition (STR) methods trained with fewer real labels.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Encoder and decoder with attention model for chinese_ocr in Pytorch 1.0

Using Attention to improve performance of OCR

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

text recognize use ctc and attention

Attention OCR in pytorch and pytorch-lightning

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

OCR Model and experimentation based off Recursive Recurrent Nets with Attention Modeling for OCR in the Wild by Lee et al.

TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers

Diffusion attentive attribution maps for interpreting Stable Diffusion.

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR'19].