Researchers have introduced WildDet3D, a new architecture for monocular 3D object detection that can handle various prompt types and utilize auxiliary depth information, along with WildDet3D-Data, the largest open dataset for 3D detection in diverse real-world scenes. This advancement is crucial for developers working on autonomous systems and augmented reality applications, as it enhances the ability to detect objects accurately in complex environments.
Read the full article at arXiv cs.CV (Vision)
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Ali NematiWritten by Ali
