High-resolution networks
A high-resolution convolutional network backbone, better than ResNets. Many computer vision applications: ImageNet classification, semantic segmentation, object detection, and facial landmark detection.
Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
A high-resolution convolutional network backbone, better than ResNets. Many computer vision applications: ImageNet classification, semantic segmentation, object detection, and facial landmark detection.
The project is an official implementation of our CVPR2019 paper “Deep High-Resolution Representation Learning for Human Pose Estimation”
The ELL models repository contains a number of pretrained models suited for different device footprints. Currently, there are pretrained models for image classification and audio keyword spotting.
Scripts to generate the knowledge-grounded conversation dataset. First used for DSTC7-Task2 challenge.
Scripts for dialog generation evaluation, tokenization, data preprocessing, and GUI interface.
NAIL agent provides the source code for an agent which won the 2018 Text-Based Adventure AI Competition. The repository will be also used to release further improvements as we developed better RL approaches to the…
AirSim is high fidelity extensible simulation platform to allow data generation, algorithms testing and reinforcement learning for developing autonomous agents.