Stars
An implementation of local windowed attention for language modeling
Multiple samples showing the best practices in camera APIs on Android.
A Tree-Structured Decoder for Image-to-Markup Generation
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition (ECCV’2022 Poster).
Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
pix2tex: Using a ViT to convert images of equations into LaTeX code.
SwinIR: Image Restoration Using Swin Transformer (official repository)
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
A simple, fully convolutional model for real-time instance segmentation.
OpenMMLab Rotated Object Detection Toolbox and Benchmark
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
OpenMMLab Detection Toolbox and Benchmark
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
Convolutional recurrent network in pytorch
Extremely simple implement for Chinese OCR by PyTorch.
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
Extremely simple implement for CRNN by Tensorflow
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-s…
Files for a tutorial to train SegNet for road scenes using the CamVid dataset