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Predicting Future Instance Segmentation by Forecasting Convolutional Features

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Academic year: 2021

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Fig. 1: Predicting 0.5 sec. into the future. Instance modeling significantly im- im-proves the segmentation accuracy of the individual pedestrians.
Fig. 2: Left: Features in the FPN backbone are obtained by upsampling features in the top-down path, and combining them with features from the bottom-up path at the same resolution
Table 1: Ablation study: short-term prediction on the Cityscapes val. set.
Table 2: Instance segmentation accuracy on the Cityscapes validation set.
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