Alternatives and similar repositories for ChangeChip:

Users that are interested in ChangeChip are comparing it to the libraries listed below

• liutongkun / FAIR
  Frequency-aware Image Restoration for Industrial Visual anomaly detection
  ☆29Updated 2 months ago
• mengcius / Surface-Defect-Detection
  Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
  ☆25Updated 4 years ago
• mingren8888 / GAN-defect
  demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch
  ☆37Updated 4 years ago
• cvlzw / DeepHawkeye
  image anomaly detection
  ☆38Updated 3 years ago
• ShuaiLYU / A_surface_defect_detection_based_on_positive_samples
  generate randomly defects on positive samples and restore them with GAN.
  ☆38Updated 4 years ago
• VincentHancoder / SSGD
  SSGD(ICASSP2023)
  ☆38Updated last month
• youngsjjn / MemSeg
  memory-based semantic segmentation for off-road unstructured natural environments
  ☆26Updated 3 years ago
• DHW-Master / NEU_Seg
  ☆22Updated 4 years ago
• jianzhang96 / MSD
  mobile phone screen surface defect segmentation (detection) dataset.
  ☆46Updated 3 months ago
• bbbbby-99 / TGRNet-Surface-Defect-Segmentation
  Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation
  ☆40Updated last year
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆23Updated 11 months ago
• StitchKoala / STLM
  ☆16Updated 7 months ago
• li-phone / DefectNet
  DefectNet: Towards Fast and Effective Defect Detection
  ☆22Updated 2 years ago
• vojirt / PixOOD
  Official implementation of the "PixOOD: Pixel-Level Out-of-Distribution Detection"
  ☆20Updated 2 months ago
• jstudy / Awesome-Defect-Detection
  ☆40Updated 2 years ago
• smiler96 / PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
  PFM and PEFM for Image Anomaly Detection and Segmentation
  ☆34Updated last year
• zacario-li / Segmentation-based-deep-learning-approach-for-surface-defect-detection
  Segmentation-based deep-learning approach for surface-defect detection with pytorch
  ☆24Updated last month
• lmomoy / LF-YOLO
  LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.
  ☆54Updated 5 months ago
• lvxiaoming2019 / GC10-DET-Metallic-Surface-Defect-Datasets
  This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…
  ☆62Updated 2 years ago
• blaz-r / SuperSimpleNet
  [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…
  ☆38Updated 3 months ago
• LuyaooChen / uninformed-students-pytorch
  A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.
  ☆36Updated 3 years ago
• kissablemt / print-defect-detection
  铭牌印刷缺陷视觉检测系统
  ☆32Updated 3 years ago
• LeeWise9 / Segmentation-Based-Surface-Defect-Detection
  This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…
  ☆80Updated 4 years ago
• abc-125 / segad
  Segmentation-based Anomaly Detector (SegAD)
  ☆48Updated 3 months ago
• mtailanian / uflow
  ☆25Updated 2 months ago
• CAIVIAC / AIT
  [2021CVPR] Adaptive Image Transformer for One-Shot Object Detection
  ☆18Updated 9 months ago
• xiahaifeng1995 / STPM-Anomaly-Detection-Localization-master
  This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.
  ☆45Updated 3 years ago
• ultranity / Anomaly.Paddle
  基于PaddlePaddle框架的异常检测算法复现
  ☆23Updated 2 years ago
• areylng / MemSeg
  ☆23Updated 2 years ago