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innsikt - 3D Object Detection Strategies
Enhancing 3D Object Detection with Receptive Field and Feature Extraction Strategies
The author introduces the Dynamic Feature Fusion Module (DFFM) and the Feature Selection Module (FSM) to address challenges in 3D object detection, focusing on expanding the receptive field of a 3D convolutional kernel and extracting important features.
3D Object Detection: Large Receptive Field and Feature Extraction Strategies
Large receptive field and feature extraction strategies are crucial for enhancing 3D object detection in autonomous driving systems.
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