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 years ago
• caiyu6666 / MedIAnomaly
  [MedIA 2025] MedIAnomaly: A comparative study of anomaly detection in medical images
  ☆56Updated 9 months ago
• DorisBao / BMAD
  BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license
  ☆78Updated 2 months ago
• tiangexiang / SQUID
  [CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images
  ☆105Updated last year
• tianyu0207 / weakly-polyp
  [MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
  ☆42Updated last year
• ci-ber / RA
  Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. #MIDL2023.
  ☆28Updated last year
• guojiajeremy / ReContrast
  ☆46Updated last year
• TY-Shi / FreeCOS
  FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation (ICCV2023)
  ☆39Updated last year
• cnulab / MediCLIP
  Official implementation of "MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection (MICCAI 2024 Early Accept)"
  ☆79Updated last year
• yoon307 / CTI
  Official code for Class Tokens Infusion for Weakly Supervised Semantic Segmentation, CVPR2024
  ☆19Updated 9 months ago
• YuemingJin / STswinCL
  [TMI'22]Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation
  ☆23Updated 2 years ago
• DragonDescentZerotsu / SSM-SAM
  Code for WACV 2024, Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
  ☆42Updated last year
• zylbuaa / ECL
  [MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
  ☆27Updated last year
• MedAIerHHL / awesome-medical-image-anomaly-detection
  Recent papers about anomaly detection in medical images.
  ☆27Updated last month
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆51Updated last year
• Kangningthu / ADELE
  Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)
  ☆86Updated 3 years ago
• ZhenZHAO / AugSeg
  [CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
  ☆123Updated last year
• Luffy03 / AGMM-SASS
  [TPAMI 2025|CVPR 2023] Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures
  ☆87Updated 4 months ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• wxfaaaaa / DCNet
  Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)
  ☆26Updated 2 years ago
• ZhenZHAO / iMAS
  [CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
  ☆40Updated last year
• YazhouZhu19 / RPT
  [MICCAI 2023] Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
  ☆57Updated 5 months ago
• dengxl0520 / MemSAM
  [CVPR 2024 Oral] MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation.
  ☆165Updated last year
• jhshim1995 / FeedFormer
  ☆17Updated 2 years ago
• WenRuxue / DeTTA
  ☆22Updated last year
• aleemsidra / SaLIP
  This repository contains the pytorch code for our CVPRW 2024 paper "Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-s…
  ☆44Updated last year
• dashishi / LDPolypVideo-Benchmark
  A public endoscopic video dataset for polyp detection
  ☆76Updated 2 years ago
• weimengmeng1999 / AdapterSIS
  Enhancing Surgical Instrument Segmentation: Integrating Vision Transformer Insights with Adapter
  ☆11Updated last year
• ccarliu / m3ae
  ☆15Updated 9 months ago
• hust-linyi / CAT-Net
  This is the official code of the paper "Few Shot Medical Image Segmentation with Cross Attention Transformer"
  ☆59Updated last year