grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs

30 Jul 2020Ali HamdiDu Yong KimFlora D. Salim

We propose $grid2vec$, a novel approach for image representation learning based on Graph Convolutional Network (GCN). Existing visual representation methods suffer from several issues, such as requiring high-computation, losing in-depth structures, and being restricted to specific objects... (read more)

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