Abstract: Recently, most image segmentation methods exhibit an extreme trade-off between performance and efficiency, resulting in approaches with high performance typically having low computational ...
Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results