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Name: laygin
Type: User
laygin's Projects
card_generator
for paper cite
card_segmentation
Identity Document detection and classification can be obtained via object detection-based, instance segmentation-based and semantic segmentation-based methods, we select one typical and efficient model respectively, namely SSD, YOLOv8 and PIDNet, in addition, we improve semantic segmentation-based methods by decoupling detection and classification,
face_detection_in_realtime
This repository is the implementation of face detection in real time using YOLOv3 framework with keras(tensorflow backend). For use in embeded devices, so I choose a computation-efficient CNN architecture named ShuffleNet version 2 and train it from scratch(about 50 epoches) on FDDB.
keras-shufflenetv2
Keras implementation of ShuffleNet V2
keras_std
This repository is the official implementation of Semantic-based Scene Text Detector(STD for short), a new scene text detection method, inspired by the idea of CSP, which is used on Pedestrian Detection.
keras_std_plus_plus
This repository is the official implementation of `A Semantic-based Arbitrarily-Oriented Scene Text Detector`(named STD++ as it is the improved version of STD).
learning-resources
分享学习资源，包括在线课程、国内外名校公开课、高质量的书籍、论文、数据集等。内容有：深度学习，机器学习，计算机视觉，Python，C/C++、算法、安卓开发和数据分析与挖掘等
pixellink_keras
pixellink in keras
pytorch_ctpn
This is a pytorch implementation of CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network). You may want to finetune from: https://drive.google.com/open?id=1JHhI4sEIXfs5gDa1I9AgJBY477HTzAd0
transformer_str
PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.
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