AI News, NIPS Proceedingsβ

NIPS Proceedingsβ

Part of: Advances in Neural Information Processing Systems 27 (NIPS 2014) We propose a deep feed-forward neural network architecture for pixel-wise semantic scene labeling.

It is also orders of magnitude faster than previous methods and takes only 0.07 seconds on a GPU for pixel-wise labeling of a 256x256 image starting from raw RGB pixel values, given the super-pixel mask that takes an additional 0.3 seconds using an off-the-shelf implementation.

NIPS Proceedingsβ

Part of: Advances in Neural Information Processing Systems 27 (NIPS 2014) We propose a deep feed-forward neural network architecture for pixel-wise semantic scene labeling.

It is also orders of magnitude faster than previous methods and takes only 0.07 seconds on a GPU for pixel-wise labeling of a 256x256 image starting from raw RGB pixel values, given the super-pixel mask that takes an additional 0.3 seconds using an off-the-shelf implementation.

Lecture 11 | Detection and Segmentation

In Lecture 11 we move beyond image classification, and show how convolutional networks can be applied to other core computer vision tasks. We show how fully convolutional networks equipped...

Google Developer Days India 2017 - Day 1 (Track 1)

Join us for the livestream of Day 1 at GDD India '17! This livestream will cover all sessions taking place at the Bengaluru International Exhibition Centre in Bengaluru, India. Check out...