Abstract: The Transformer architecture, despite its scaling law, faces expensive computational cost challenges as the number of parameters increases. Quantization methods like Ternary-BERT and BitNet ...
Abstract: Currently prevalent multi-modal 3D detection methods rely on dense detectors that usually use dense Bird’s-Eye-View (BEV) feature maps. However, the cost of such BEV feature maps is ...
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