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GrooMeD NMS- Grouped Mathematical Differentiable NMS for Monocular 3D Object Detection

­ Monocular 3D Object Detection VALUE PROPOSITION This technology is a novel end-to-end trainable Grouped Mathematical Differentiable NMS (GrooMed-NMS) for monocular 3D object detection. INTRODUCTION Modern 3D object detection methods have immensely benefitted from the end-to-end learning idea. However, most of them use a post-processing...
Published: 5/6/2022   |   Inventor(s): Xiaoming Liu, Abhinav Kumar, Garrick Brazil
Keywords(s):   Category(s): Computer Software, Data Processing/Analysis