M2S uses multi-level feature enhancement, auxiliary point cloud reconstruction, and multi-teacher contrastive distillation to boost ego-only 3D mAP by up to 8.64% on V2XSet, V2V4Real, and DAIR-V2X when applied to CoSDH and other detectors.
Autonomous Navigation for eVTOL: Review and Future Perspectives
2 Pith papers cite this work. Polarity classification is still indexing.
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Transformer-guided DRL cut training time steps to 25% of vanilla DRL while reaching 97.2% of optimal energy consumption for eVTOL takeoff versus 96.1%.
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C2E: Boosting Ego-Only 3D Object Detection via Multi-Teacher Contrastive Knowledge Distillation
M2S uses multi-level feature enhancement, auxiliary point cloud reconstruction, and multi-teacher contrastive distillation to boost ego-only 3D mAP by up to 8.64% on V2XSet, V2V4Real, and DAIR-V2X when applied to CoSDH and other detectors.