Abstract: An encoder-decoder attention-based model has been employed to predict human action using a 3D skeleton-based human activity dataset. It offers and advocates a non-autoregressive approach to ...
Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...
Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...
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