Yvette7's starred repositories
Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
YOLOv5-LPRNet-Licence-Recognition
使用YOLOv5和LPRNet进行车牌检测+识别(CCPD数据集)
LicensePlateRecognition
基于深度学习的车牌识别GUI项目
license-plate-detect-recoginition-pytorch
深度学习车牌检测与识别,检测结果包含车牌矩形框和4个角点,基于pytorch框架运行
License_Plate_Recognition_pytorch
该工作由电子科技大学陈昂、刘俊凯、夏子寒同学完成。我们提出可以使用深度学习的方案对**车牌进行检测和识别。我们提出使用YOLOv3网络进行车牌检测,然后创新性地对检测后的车牌使用空间变换网络STN加以校正,最后使用LPRNet网络进行车牌的字符与数字识别。目前实测结果,在老师提供的45张数据集上,我们的YOLOv3网络检测准确率(IOU)达到98.2%,深度学习级联网络识别准确率为95.6%。我们采用大量测试集,最终我们的YOLOv3_STN_LPRNet级联网络识别准确率稳定在93.3%,不加空间变换网络STN的话,识别准确率在66%左右。 总体来说,使用深度学习的方案比传统方案效果提升的非常好,而且我们加入空间变换网络STN的做法对于提升识别准确率很有效。
end-to-end-for-chinese-plate-recognition
多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet
Quantized-Hyperspectral-Image-Classification
An unofficial code for paper "Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization" and expansion
hyperspectral-image-classification-system
This repository is a system based on Pytorch, sklearn and PyQt5
3DOC-SSAN-PyTorch
A PyTorch implementation of paper: Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network (https://ieeexplore.ieee.org/document/9140029)
IEEE_TNNLS_TSTnet
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification. IEEE TNNLS, 2021.
RSSAN-Hyperspectral-Image
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification
Tiny-Video-Network
Add some codes for unofficial repo of 'Tiny Video Network'