GEOMETRYFORMER: SEMI-CONVOLUTIONAL TRANSFORMER INTEGRATED WITH GEOMETRIC PERCEPTION FOR DEPTH COMPLETION IN AUTONOMOUS DRIVING SCENES

GeometryFormer: Semi-Convolutional Transformer Integrated with Geometric Perception for Depth Completion in Autonomous Driving Scenes

Depth completion is widely employed in Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SfM), Gift Cards which are of great significance to the development of autonomous driving.Recently, the methods based on the fusion of vision transformer (ViT) and convolution have brought the accuracy to a new level.However, there are sti

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The Impact of Land Transfers on the Adoption of New Varieties: Evidence from Micro-Survey Data in Shaanxi Province, China

Land transfers play a vital role in determining the level of farm machinery service and variety selection by scattered land reduction and contiguous land enhancement, which are also conducive to poverty alleviation and welfare utilization.Based on the micro-survey data of 898 kiwifruit growers in Shaanxi Province, this paper analyzed the effect of

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A Water Level Measurement Approach Based on YOLOv5s

Existing water gauge reading approaches based on image analysis have problems such as poor scene adaptability and weak robustness.Here, we proposed a novel water level measurement method based on deep learning (YOLOv5s, convolutional neural network) to overcome these problems.The proposed method uses the YOLOv5s to extract the water gauge area and

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