We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
Abstract: Reversible logic gate has gained importance in recent times due to its low power dissipation and less information loss. QCA on the other hand has low power consumption and has applications ...
Abstract: This study proposes a novel approach to the Vehicle Routing Problem with Task Priority and Limited Resources (VRPTPLR) by leveraging a Graph Neural Network (GNN) encoder. Unlike conventional ...
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