Alternatives and similar repositories for DDAD-ASR

Users that are interested in DDAD-ASR are comparing it to the libraries listed below

• caiyu6666 / DDAD
  [MICCAI 2022] Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
  ☆54Updated 2 months ago
• DorisBao / BMAD
  BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license
  ☆81Updated 4 months ago
• caiyu6666 / MedIAnomaly
  [MedIA 2025] MedIAnomaly: A comparative study of anomaly detection in medical images
  ☆61Updated 2 months ago
• tiangexiang / SQUID
  [CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images
  ☆105Updated last year
• guojiajeremy / ReContrast
  [NeurIPS2023] Official Implementation of "ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction".
  ☆47Updated last year
• ci-ber / RA
  Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. #MIDL2023.
  ☆29Updated 2 years ago
• caiyuxuan1120 / DAF
  ☆30Updated last year
• cnulab / MediCLIP
  Official implementation of "MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection (MICCAI 2024 Early Accept)"
  ☆86Updated last year
• tianyu0207 / weakly-polyp
  [MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
  ☆42Updated last year
• TY-Shi / FreeCOS
  FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation (ICCV2023)
  ☆40Updated 2 years ago
• caoyunkang / IKD
  [KBS 2022] Informative knowledge distillation for image anomaly segmentation
  ☆22Updated 3 years ago
• Choubo / DRA
  Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomal…
  ☆90Updated 3 years ago
• maxwell0027 / PEFAT
  [CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training
  ☆51Updated 2 years ago
• guojiajeremy / EDC
  ☆15Updated last year
• importZL / BLO-SAM
  ☆43Updated last year
• chenhao-zju / PMNet
  Official code for Pixel Matching Network.
  ☆20Updated last year
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 11 months ago
• xmed-lab / ToMo-UDA
  [ICML' 24] Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images.
  ☆11Updated last year
• gdwang08 / STFPM
  Code for the paper entitled "Student-Teacher Feature Pyramid Matching for Anomaly Detection" (BMVC 2021)
  ☆30Updated 3 years ago
• tufts-ml / SSL-vs-SSL-benchmark
  Code for benchmark comparing self-supervised and semi-supervised deep classifiers for medical images
  ☆23Updated this week
• yoon307 / CTI
  Official code for Class Tokens Infusion for Weakly Supervised Semantic Segmentation, CVPR2024
  ☆21Updated 11 months ago
• YazhouZhu19 / RPT
  [MICCAI 2023] Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
  ☆57Updated 7 months ago
• YuemingJin / STswinCL
  [TMI'22]Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation
  ☆23Updated 2 years ago
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• jiexuanyan / CPRFL
  ☆22Updated 11 months ago
• jhshim1995 / FeedFormer
  ☆18Updated 3 years ago
• sha168 / ADNet
  Code for the paper "Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels".
  ☆38Updated 3 years ago
• ccarliu / m3ae
  ☆18Updated 11 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
• MedAIerHHL / awesome-medical-image-anomaly-detection
  Recent papers about anomaly detection in medical images.
  ☆29Updated 3 months ago