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We report the results of our ablation studies and weather analysis. We conducted ablation studies by progressively adding the CSF module, deformable cross-attention, and the gated network, shown in table 2. We set a baseline with CSF only becasuse it simply concatenates and feeds into CBR blocks. Consequently, adding deformable cross-attention and gate network sequentially improves model performance. Specifically, adopting the gated network further refines the fusion process and results in improvements in most of all metric except for mASE and mAOE.
We also evaluated the performance in various weather conditions under day, night, and rain weather scenarios. The table 3 compares our proposed model with baseline. ACAGN demonstrates consistent improvement, especially in rain condition with huge improvements than others.
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