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Found 2 papers, 1 papers with code
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
To the best of our knowledge, our work is the first approach that takes advantage of knowledge distillation in the field of spiking object detection.
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
Our voting-based tracklet generation method followed by geometric feature-based aggregation generates significantly improved panoptic LiDAR segmentation quality when compared to modeling the entire 4D volume using Gaussian probability distributions.
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