Abstract: This study focuses on enhancing the accuracy and efficiency of semantic analysis systems for recognizing moving objects within video sequences. The primary aim is to improve object detection ...
ORNL and Kyoto Fusioneering are collaborating to validate fuel-cycle technologies required for commercial fusion power plants.
Abstract: Object detection is one of the fundamental tasks of computer vision with numerous applications in various fields. Existing object detection methods mostly focus on enhancing single-view ...
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