A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

1 code implementation • 16 Mar 2019 • Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl

We show that adding the correspondences as extra supervision during training improves the segmentation performance of the convolutional neural network, making it more robust to seasonal changes and weather conditions.

Segmentation Semantic Segmentation