aniketmaster

Detect handwritten words (neural network based).

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

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

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

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

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.

[kaggle] 3rd place solution 🌿

Minimal keyword extraction with BERT

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

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

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

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