Contrastive learning-based knowledge distillation for RGB-thermal urban scene semantic segmentation

RGB thermal semantic segmentation facilitates unmanned platforms to perceive and characterize their surrounding environment, which is critical for autonomous driving tasks. Deep-learning-based algorithms have achieved dominance in terms of accuracy and robustness. However, their large parameter size...

詳細記述

書誌詳細
主要な著者: Guo, Xiaodong, Zhou, Wujie, Liu, Tong
その他の著者: School of Computer Science and Engineering
フォーマット: Journal Article
言語:English
出版事項: 2024
主題:
オンライン・アクセス:https://hdl.handle.net/10356/180181