xw1519

xw1519's Stars

• LIU-YUXI/FedFMS

  [MICCAI2024] "FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation". A framework for fine-tuning SAM (Segment Anything) in the federated learning paradigm for medical image segmentation.

  Language:Python404

• sun-hailong/LAMDA-PILOT

  🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

  Language:Python33035

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.2k546

• CUHK-AIM-Group/Endora

  Endora: Video Generation Models as Endoscopy Simulators (MICCAI 2024)

  Language:Python1266

• franciszchen/SCA-Net

  Language:Python9

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  Language:Python6.5k389

• JuliaWolleb/Diffusion-based-Segmentation

  This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".

  Language:Python28938

• chq1155/A-Survey-on-Generative-Diffusion-Model

  92460

• PerceptionComputingLab/TED_DCMIS

  Language:Python5

• Chen-Ziyang/VPTTA

  Code for [CVPR 2024] Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.

  Language:Python446

• WooooDyy/LLM-Agent-Paper-List

  The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

  7k414

• ZrrSkywalker/Personalize-SAM

  Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

  Language:Python1.6k104

• CityU-AIM-Group/SFDA-FSM

  [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining

  Language:Python428

• bethgelab/robustness

  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

  Language:Python1315

• jmiemirza/DUA

  The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)

  Language:Python534

• mr-eggplant/SAR

  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

  Language:Python1696

• koncle/DomainAdaptor

  Language:Python406

• mathilde-b/TTA

  Language:Python263

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.6k151

• cchen-cc/SFDA-DPL

  [MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling

  Language:Python5711

• yeerwen/UniSeg

  MICCAI 2023 Paper (Early Acceptance)

  Language:Python1785

• naver/oasis

  Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022

  Language:Python273

• Mattdl/ContinualPrototypeEvolution

  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.

  Language:Python437

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k1k

• Yangsenqiao/vida

  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

  Language:Python596

• zhoudw-zdw/CVPR22-Fact

  Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

  Language:Python12023

• JosephKJ/ELI

  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning

  Language:Python509

• DeepMedLab/Tri-U-MT

  Language:Python328

• zzw-szu/CoNuSeg

  Language:Python11

• SHI-Labs/Forget-Me-Not

  Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023

  Language:Python1217