Benchmark of federated learning. Dedicated to the community. 🤗

[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 …

Leaf: A Benchmark for Federated Settings in PyTorch

Self-supervised Federated Learning for Medical Imaging - IEEE TMI

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

PyTorch code and models for the DINOv2 self-supervised learning method in Windows

High-Resolution Image Synthesis with Latent Diffusion Models || Code updated for Pytorch 2.3.0 and other latest packages

Convert CIFAR-10 and CIFAR-100 datasets into PNG images

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Few Shot Semantic Segmentation Papers