Object-Class Segmentation using Deep Convolutional Neural Networks
Hannes Schulz, Sven Behnke · 2011
After successes at image classification, segmentation is the next step towards image understanding for neural networks. We propose a convolutional network architecture that outperforms current methods on the challenging INRIA-Graz02 dataset with regards to accuracy and speed. 1