Constructing 3D Object Detectors Based on Deformable Convolutional Guided Depths
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DOI: 10.1109/access.2024.3488748
Abstract: This paper introduces a depth-guided 3D object detection method that enhances the feature extraction capability of the backbone network through weak supervision. It combines large kernel convolution, global response normalization, and layer normalization techniques to… read more here.
Keywords: deformable convolutional; convolutional guided; constructing object; object detectors ... See more keywords