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Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
This paper introduces the first publicly accessible multi-modal perception dataset for autonomous maritime navigation, focusing on in-water obstacles within the aquatic environment to enhance situational awareness for Autonomous Surface Vehicles (ASVs).
Improving the perception of visual fiducial markers in the field using Adaptive Active Exposure Control
Accurate localization is fundamental for autonomous underwater vehicles (AUVs) to carry out precise tasks, such as manipulation and construction.
IBERT: Idiom Cloze-style reading comprehension with Attention
In this paper, we proposed a BERT-based embedding Seq2Seq model that encodes idiomatic expressions and considers them in both global and local context.
Application of Yolo on Mask Detection Task
An important aspect in reducing the impact of the pandemic is to control its spread.
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