blaz-r / SuperSimpleNet

Related projects ⓘ

Alternatives and complementary repositories for SuperSimpleNet

• VitjanZ / DSR_anomaly_detection
  ☆42Updated 2 years ago
• flyinghu123 / CPR
  This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…
  ☆91Updated 3 weeks ago
• zhangzilongc / MMR
  ☆70Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆75Updated 3 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆58Updated 8 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆47Updated 4 months ago
• caoyunkang / CDO
  [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆63Updated last year
• guojiajeremy / Dinomaly
  ☆53Updated 3 weeks ago
• zhangzjn / ADer
  ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popu…
  ☆188Updated 3 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆24Updated last month
• HuiZhang0812 / DiffusionAD
  ☆156Updated 9 months ago
• rximg / EfficientAD
  unofficial version of EfficientAD
  ☆124Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆77Updated 3 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆34Updated last week
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆40Updated 6 months ago
• tientrandinh / Revisiting-Reverse-Distillation
  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
  ☆125Updated 10 months ago
• oopil / PSAD_logical_anomaly_detection
  ☆31Updated 3 months ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆20Updated 10 months ago
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆56Updated last year
• BeJane / Semi_REST
  ☆17Updated last year
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆52Updated 4 months ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆78Updated 3 weeks ago
• caoyunkang / AdaCLIP
  [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''
  ☆131Updated 2 months ago
• lewandofskee / DiAD
  Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
  ☆142Updated 6 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆51Updated last month
• Loco-Roco / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆16Updated 6 months ago
• StitchKoala / STLM
  ☆13Updated 5 months ago
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆125Updated last month
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆47Updated last year
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆99Updated 2 months ago