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A Practice of Tourism Knowledge Graph Construction based on Heterogeneous Information
So we develop two pipelines of processing methods for semi-structured data and unstructured data respectively.
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network
Deep learning-based underwater object detection (UOD) remains a major challenge due to the degraded visibility and difficulty to obtain sufficient underwater object images captured from various perspectives for training.
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation
This paper proposes a high-precision self-supervised monocular VO, which is specifically designed for navigation in foggy weather.
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