Camouflaged Object Detection, CVPR 2020 (Oral)
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Updated
Apr 7, 2024 - Python
Camouflaged Object Detection, CVPR 2020 (Oral)
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset
👷胶囊表面缺陷检测withTensorflow,主要检测了凹陷和缺失部分,涉及到GPU加速
基于RetinaFace的目标检测方法,适用于人脸、缺陷、小目标、行人等
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
Detect Defects in Products from their Images using Amazon SageMaker
[ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].
[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
[ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
Imaging system for analyzing defects of semiconductor wafers and chips
The re-labeled NRSD-MN dataset, AMFF-YOLOX source code and paper "AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection".
[TF 2.x] PaDiM - unofficial tensorflow implementation of the paper 'a Patch Distribution Modeling Framework for Anomaly Detection and Localization'.
Fabric Stain Detection System based on YOLO algorithm
[ISSN 0168-1699, COMPUT ELECTRON AGR 2024] FastSegFormer: A knowledge distillation-based method for real-time semantic segmentation of surface defects in navel oranges.
Collection of methods for the analysis of solar modules
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