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We present the quantitative results of our evaluation on the nuScenes validation dataset. We compared our proposed method a Adaptive Cross-Attention Gated Network against other state-of-the-art methods including camera-only and camera-radar. We used R50 for the backbone network with image resolution of 256 x 704. We report two primary metric NDS and mAP and five true positive metrics as well. Our proposed method achieves the best NuScenes detection score of 56.9. This improves NDS with 0.2 improvement and mAP with 0.3 improvement over the baseline, RCBEVDet from CVPR 2024.
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