Alternatives and similar repositories for Customizable-VLM

Users that are interested in Customizable-VLM are comparing it to the libraries listed below

• ZZZBBBZZZ / MulSen-AD
  Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)
  ☆70Updated 7 months ago
• ShuaiLYU / MVREC
  Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)
  ☆29Updated 2 months ago
• hmyao22 / DADF
  The official implementation of the paper DADF for industrial VAD
  ☆12Updated last year
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆55Updated last year
• Vanssssry / One-For-All-Few-Shot-Anomaly-Detection
  Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"
  ☆26Updated 5 months ago
• hmyao22 / GLCF
  Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"
  ☆12Updated 2 years ago
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆43Updated 6 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 10 months ago
• zhang0jhon / LogSAD
  [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models
  ☆65Updated 5 months ago
• Lszcoding / ClipSAM
  ☆80Updated last year
• CASIA-IVA-Lab / FiLo
  Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…
  ☆74Updated last year
• zhangzilongc / SOFS
  ☆33Updated 9 months ago
• zqhang / PointAD
  Official implementation of PointAD (NeurIPS 2024)
  ☆67Updated 5 months ago
• TheStarOfMSY / MoEAD
  MoEAD is a parameter efficient model for multi class anomaly detection
  ☆32Updated 10 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆99Updated 4 months ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆39Updated last year
• guojiajeremy / ReContrast
  [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".
  ☆47Updated last year
• xiaozhen228 / Bayes-PFL
  (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"
  ☆44Updated 4 months ago
• xcyao00 / HGAD
  [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
  ☆24Updated last year
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆50Updated 6 months ago
• FantasticGNU / UniVAD
  [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
  ☆152Updated last week
• hq-deng / AnoVL
  ☆54Updated 2 years ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆77Updated last week
• EricLee0224 / PAD
  [NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.
  ☆96Updated 10 months ago
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated last year
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆27Updated last year
• VICO-UoE / Looking3D
  Looking 3D: Anomaly Detection with 2D-3D Alignment (CVPR24)
  ☆34Updated 10 months ago
• luow23 / AMI-Net
  [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
  ☆27Updated 7 months ago
• HUST-SLOW / SeaS
  [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…
  ☆95Updated 2 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆107Updated last year