Abstract: How to represent the object more appropriately in oriented object detection is an essential problem to be solved, because there are many solutions for the object represented. It is a ...
Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...
Abstract: Single point-supervised object detection is gaining attention due to its cost-effectiveness. However, existing approaches focus on generating horizontal bounding boxes (HBBs) while ignoring ...
Abstract: Estimating the principal point for vehicle-mounted fisheye cameras is essential for accurate vision tasks. However, traditional calibration methods require human intervention and specific ...
Abstract: Transformer-based and interaction point-based methods have demonstrated promising performance and potential in human-object interaction detection. However, due to differences in structure ...
Abstract: Three-dimensional (3D) object classification is crucial in various applications, including autonomous driving, robotics, and augmented reality, where precise detection of objects in 3D space ...
Abstract: In this work, we propose a voxel-based single-stage fine-grained and efficient point cloud 3D object detection algorithm to address the inadequate granularity in point cloud feature ...
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