Abstract: Knowledge distillation in autonomous driving typically involves transferring information from high-cost sensor modalities such as LiDAR to camera-based models to improve 3D object detection.
The app combines classical ML, embeddings-based retrieval, and modern web technologies to make sustainability accessible and actionable.
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