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A Decoding Scheme with Successive Aggregation of Multi-Level Features for Light-Weight Semantic Segmentation
Multi-scale architecture, including hierarchical vision transformer, has been commonly applied to high-resolution semantic segmentation to deal with computational complexity with minimum performance loss.
Forecasting Hands and Objects in Future Frames
The key idea is that (1) an intermediate representation of a convolutional object recognition model abstracts scene information in its frame and that (2) we can predict (i. e., regress) such representations corresponding to the future frames based on that of the current frame.
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