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Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection
To pick up the ground plane prior for M3OD, we propose a Ground Plane Enhanced Network (GPENet) which resolves both issues at one go.
INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation
Based on INS-Conv, an online joint 3D semantic and instance segmentation pipeline is proposed, reaching an inference speed of 15 FPS on GPU and 10 FPS on CPU.
SWAG: Item Recommendations using Convolutions on Weighted Graphs
Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art performance on recommender system benchmarks.
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