2021) which aims to combine advances in deep learning ... image, depth for visualization, manual segmentation, and a visual approximation of the manual measuring points. which creates the trapezoid ...

Abstract: Point cloud semantic segmentation ... object datasets show that DASS can improve 3D semantic segmentation results of geometrically similar classes up to 37.8% IoU in image FOV while ...

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A comprehensive visual model of MCI detection was established ... To improve the interpretability of the deep learning algorithm, we used the CAM heat map to visualise the contribution of different ...

This hybrid architecture allows for adaptive weighting of multimodal information, improving the robustness and interpretability of anomaly detection in precision agriculture. To address these ...

Abstract: Remote sensing image segmentation is a fundamental task in Earth observation. Rapid development has been made in the past decade owing to the deep learning techniques. Most of the existing ...