Pinned Repositories
A_surface_defect_detection_based_on_positive_samples
generate randomly defects on positive samples and restore them with GAN.
baseline_segment_Resunet_pytorch
a baseline for defect segmentation
Bilinear_ConvTranspose_pytorch
A implement of bilinear interpolation with ConvTranspose(用转置卷积实现双线性插值过程）
Deep-Learning-Approach-for-Surface-Defect-Detection
A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
MVREC
Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)
MVTec-FS
The MVTec-FS dataset is a refined version of the MVTec AD dataset, designed for few-shot learning research.
REB
REB：Reducing Biases in Representation for Industrial Anomaly Detection
res-unet_pytorch
通过将残差网络作为编码器，改进UNet ( improving the unet by using the resnet as the encoder )
resnet_for_grayImage_pytorch
将resnet的输入通道设置为1，以适用单通道图片。导入预训练模式时，丢弃第一个卷积层权重。
vs2019_tensorRT_yolov5_dll_pro
ShuaiLYU's Repositories
ShuaiLYU/Deep-Learning-Approach-for-Surface-Defect-Detection
A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
ShuaiLYU/A_surface_defect_detection_based_on_positive_samples
generate randomly defects on positive samples and restore them with GAN.
ShuaiLYU/baseline_segment_Resunet_pytorch
a baseline for defect segmentation
ShuaiLYU/REB
REB：Reducing Biases in Representation for Industrial Anomaly Detection
ShuaiLYU/MVREC
Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)
ShuaiLYU/res-unet_pytorch
通过将残差网络作为编码器，改进UNet ( improving the unet by using the resnet as the encoder )
ShuaiLYU/MVTec-FS
The MVTec-FS dataset is a refined version of the MVTec AD dataset, designed for few-shot learning research.
ShuaiLYU/Bilinear_ConvTranspose_pytorch
A implement of bilinear interpolation with ConvTranspose(用转置卷积实现双线性插值过程）
ShuaiLYU/vs2019_tensorRT_yolov5_dll_pro
ShuaiLYU/resnet_for_grayImage_pytorch
将resnet的输入通道设置为1，以适用单通道图片。导入预训练模式时，丢弃第一个卷积层权重。
ShuaiLYU/dataset_APIs
一些自己实现的数据接口 ( A repository to store the dataset APIs I have accomplished )
ShuaiLYU/OCR_CRNN-Attention
A Tensorflow implementation of CRNN with attention mechanism for OCR recognition
ShuaiLYU/a_util_for_params
自己写的一个工具类，方便管理和使用深度学习的各种超参数
ShuaiLYU/DefectMaker
DefectMaker is convenient libary to generate synthetic samples for unsupervised anomaly detection
ShuaiLYU/OCR_CRNN-CTC
A Tensorflow implementation of CRNN with CTC loss for OCR recognition
ShuaiLYU/OCR_FCNN_pytorch
ShuaiLYU/Surface-Inspection-defect-detection-dataset
This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection，etc
ShuaiLYU/x2020_baseline
“2020创青春·交子杯” 新网银行金融科技挑战赛AI算法赛道baseline
ShuaiLYU/common_tools
ShuaiLYU/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
ShuaiLYU/grad_cam_pytorch
PyTorch implementation of Grad-CAM with hook
ShuaiLYU/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
ShuaiLYU/mws
Code for paper in CVPR2019, 'Multi-source weak supervision for saliency detection'
ShuaiLYU/opencv_imgviewer_dll_solution
ShuaiLYU/pytorch-cutpaste
unoffical and work in progress PyTorch implementation of CutPaste
ShuaiLYU/pytorch-grad-cam_batch
PyTorch implementation of Grad-CAM
ShuaiLYU/ShuaiLYU.github.io
ShuaiLYU/TensorRT_yolov5_demo
tensorRT_yolov5_demo
ShuaiLYU/test_repo
ShuaiLYU/ultralytics
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