(2240002), H. C., (9976282), C. L., (5802653), W. G., (21807702), Y. W., (22184576), M. Z., (1447222), W. L., & (22184579), N. W. (2025). Extended ablation study results on the nuScenes validation set. This table compares the performance of LGMMfusion variants, including the impact of Image BEV (I-BEV), BEV Query (BEV-Q), attention structure modules (MHMS-SA and MHA-CA), and attention parameters (number of heads <i>H</i> and scales <i>S</i>). I-BEV variations involve the use of BatchNorm (BN) and ReLU activations.
Chicago Style (17th ed.) Citation(2240002), Haixing Cheng, Chengyong Liu (9976282), Wenzhe Gu (5802653), Yuyi Wu (21807702), Mengye Zhao (22184576), Wentao Liu (1447222), and Naibang Wang (22184579). Extended Ablation Study Results on the NuScenes Validation Set. This Table Compares the Performance of LGMMfusion Variants, Including the Impact of Image BEV (I-BEV), BEV Query (BEV-Q), Attention Structure Modules (MHMS-SA and MHA-CA), and Attention Parameters (number of Heads <i>H</i> and Scales <i>S</i>). I-BEV Variations Involve the Use of BatchNorm (BN) and ReLU Activations. 2025.
MLA (9th ed.) Citation(2240002), Haixing Cheng, et al. Extended Ablation Study Results on the NuScenes Validation Set. This Table Compares the Performance of LGMMfusion Variants, Including the Impact of Image BEV (I-BEV), BEV Query (BEV-Q), Attention Structure Modules (MHMS-SA and MHA-CA), and Attention Parameters (number of Heads <i>H</i> and Scales <i>S</i>). I-BEV Variations Involve the Use of BatchNorm (BN) and ReLU Activations. 2025.