Proto-FG3D replaces the softmax classifier with prototype matching for fine-grained 3D shape classification, reporting state-of-the-art accuracy on FG3D and ModelNet40 with built-in interpretability.
Veram: View-enhanced recurrent attention model for 3d shape classification.IEEE transactions on visualization and computer graphics, 25(12):3244–3257, 2018
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Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Proto-FG3D replaces the softmax classifier with prototype matching for fine-grained 3D shape classification, reporting state-of-the-art accuracy on FG3D and ModelNet40 with built-in interpretability.