Microsoft Research Blog
Teaching a robot to see and navigate with simulation
| Sebastian Scherer et Ashish Kapoor
The ability to see and navigate is a critical operational requirement for robots and autonomous systems. For example, consider autonomous rescue robots that are required to maneuver and navigate in challenging physical environments that humans cannot safely access. Similarly, building AI…
Enhancing your photos through artificial intelligence
The amount of visual data we accumulate around the world is mind boggling. However, not all the images are captured by high-end DSLR cameras, and very often they suffer from imperfections. It is of tremendous benefit to save those degraded…
High-Resolution Network: A universal neural architecture for visual recognition
Since AlexNet was invented in 2012, there has been rapid development in convolutional neural network architectures in computer vision. Representative architectures (Figure 1) include GoogleNet (2014), VGGNet (2014), ResNet (2015), and DenseNet (2016), which are developed initially from image classification.…