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Found 3 papers, 2 papers with code
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments
We designed a 3D part-aware hybrid transformer for point cloud-based object detection to identify dynamic objects.
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems
In this paper, we propose to modify the structure and training process of DNN models for complex image classification tasks to achieve in-network compression in the early network layers.
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems
Offloading the execution of complex Deep Neural Networks (DNNs) models to compute-capable devices at the network edge, that is, edge servers, can significantly reduce capture-to-output delay.
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