The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

MONAI Tutorials

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.

PyTorch implementation of FastSurferCNN

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation (NeurIPS2023)

MICCAI challenge for EndoVis2018

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

Learn OpenCV : C++ and Python Examples