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Found 3 papers, 0 papers with code
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
Due to the lack of insight in industrial application, existing methods on open datasets neglect the camera pose information, which inevitably results in the detector being susceptible to camera extrinsic parameters.
Ranked #4 on
Monocular 3D Object Detection
on KITTI Cars Moderate
(using extra training data)
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series
In this paper, we propose a light-weight semantic segmentation framework for large-scale point cloud series, called TempNet, which can improve both the accuracy and the stability of existing semantic segmentation models by combining a novel frame aggregation scheme.
Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning
It is shown that, by applying reinforcement learning techniques, a mobile device can achieve an optimal communication policy without the need to know the jamming and interference model and the radio channel model in a dynamic game framework.
