An Empirical Study on Multi-domain Robust Semantic Segmentation

How to effectively leverage the plentiful existing datasets to train a robust and high-performance model is of great significance for many practical applications. However, a model trained on a naive merge of different datasets tends to obtain poor performance due to annotation conflicts and domain d...

Ausführliche Beschreibung