AutoScale is a closed-loop data engine using Graph-RAE for scene representation and Cluster-GA for importance-based retrieval to improve real-synthetic co-training for autonomous driving.
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Mantis is the first Mamba-native PEFT framework for 3D point cloud models, using state-aware adapters and dual-serialization distillation to match performance with only 5% trainable parameters.
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Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
AutoScale is a closed-loop data engine using Graph-RAE for scene representation and Cluster-GA for importance-based retrieval to improve real-synthetic co-training for autonomous driving.
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Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models
Mantis is the first Mamba-native PEFT framework for 3D point cloud models, using state-aware adapters and dual-serialization distillation to match performance with only 5% trainable parameters.