Stars
AIVC is a fully-learned video codec. It is able to code video sequences at different rates and it features tunable coding configurations.
Liver segmentation using Deep Learning on LiTS 2017 Dataset
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
[CVPR 2023] Label-Free Liver Tumor Segmentation
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification (CVPR 2024)
The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides code for working with the MIMeta Dataset as well as simple bas…
End-to-End Object Detection with Transformers
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
Python toolkit for quantitative finance
Powerful, open-source AI tools for digital pathology.
Transform datasets at scale. Optimize datasets for fast AI model training.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Low-complexity neural image & video codec.
Measures and metrics for image2image tasks. PyTorch.
Super Resolution datasets and models in Pytorch
Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".
Slides, notes, and materials for the workshop
This repository contains the official implementation of the research paper: "Towards Training Large-Scale Pathology Foundation Models: from TCGA to Hospital Scale"
CellViT: Vision Transformers for Precise Cell Segmentation and Classification