Detect handwritten words (neural network based).

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Official implementation for ICDAR 2021 paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"

Document Text Recognition (DocTR) made seamless, high-performing & accessible to anyone using Deep Learning for OCR-related tasks.

Reformer, the efficient Transformer, in Pytorch

[CVIU 2019] ASSD learns to highlight useful regions on the feature maps while suppressing the irrelevant information, thereby providing reliable guidance for object detection.

[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam)

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

An Arabic text localization and recognition system supporting multiple architectures for the recognition of text.

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

ISTR: End-to-End Instance Segmentation with Transformers (https://arxiv.org/abs/2105.00637)

Unofficial Repository for the code of "Detection Transformer" performing object detection on Multi-Mnist dataset.

Evaluation of the Layoutlm model on the CORD dataset

Self-supervised vIsion Transformer (SiT)