Researchers Present A Survey Report on Using 100+ Transformer-based Methods in Computer Vision for Different 3D Vision Tasks

Understanding sceneries and objects in three-dimensional space are critical in computer vision. Autonomous driving, robotics, remote sensing, medical treatment, augmented reality, and the design industry is just a few fields in which 3D vision is crucial. Numerous factors, including the introduction of numerous large-scale 3D geometry datasets that were gathered and labeled in 3D, the development of various 3D capture sensors, such as LiDAR and RGB-D sensors, and advancements in 3D deep learning techniques, have all contributed to an increase …

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