Computer Vision
Enabling computers and devices to understand what they see.
Microsoft Research Blog
Microsoft Vision Model ResNet-50 combines web-scale data and multi-task learning to achieve state of the art
Pretrained vision models accelerate deep learning research and bring down the cost of performing computer vision tasks in production. By pretraining one large vision model to learn general visual representation of images, then transferring the…
Tool
Microsoft Vision
Microsoft Vision Model ResNet-50 is a state-of-the-art ResNet-50 model pretrained with web-scale data, multi-task training, and web-supervision.
Publication
Object-Centric Image Generation from Layouts
Video
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source
Medical images offer vast opportunities to improve clinical workflows and outcomes. Specifically, in the context of cancer radiotherapy, clinicians need to go through computer tomography (CT) scans and manually segment (contour) anatomical structures. This is…
Webinar
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source webinar
In this webinar, Dr. Ozan Oktay and Dr. Anton Schwaighofer will analyze these challenges within the context of image-guided radiotherapy procedures and will present the latest research outputs of Project InnerEye in tackling these challenges.…
Video
Mixed reality and robotics: Unlocking more intuitive human-machine collaboration
Robots are becoming more capable and cost-effective, leading to an increasing role in our daily lives, both at home and in the workplace. However, for robots to operate easily alongside humans, people should be able…
