Knowledge Distillation for Feature Extraction in Underwater VSLAM
Knowledge Distillation for Feature Extraction in Underwater VSLAM
In recent years, learning-based feature detection and matching have outperformed manually-designed methods in in-air cases. However, it is challenging to learn the features in the underwater scenario due to the absence of annotated underwater datasets. This paper proposes a cross-modal knowl-edge distillation framework for training an underwater feature detection and …