handwritten text recognition on IAM handwriting dataset

🧑‍🏫 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, ... 🧠

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Encoder and decoder with attention model for chinese_ocr in Pytorch 1.0

A pytorch implementation of the attention based ocr

Using Attention to improve performance of OCR

Diffusion attentive attribution maps for interpreting Stable Diffusion.

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

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

TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers

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

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

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning".

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

Attention OCR in pytorch and pytorch-lightning