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Joint Future Semantic and Instance Segmentation Prediction

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Academic year: 2021

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Fig. 1: Our representation enables both future semantic and instance segmen- segmen-tation prediction, based on distance maps from the different objects contours.
Fig. 2: Illustration of different steps building our distance map based encoding D (k) t at time t given a class k from individual instance segmentations I (1) and I (2) for class k.
Fig. 3: Distance map inputs for one image. First line: Last input distance maps for classes background, car and truck
Fig. 4: Computing the future instances. (a) First step: compute the coordinates of future instance centroids positions by selection of shortest paths in the blue graph weighted by w (Equation 6)
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