A motion-appearance-aware network for object change detection
2022
, and the other is to match different levels of motion cues at multiple time scales to the decoder. Finally, extensive experiments on four public datasets (i.e., LASIESTA, CDnet2014, INO, and AICD) indicate that the proposed approach outperforms other methods.
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