Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   present preliminary results of performance evaluation of S3DCNN - a Sparse 3D Convolutional Neural Network - on a large-scale 3D Shape benchmark ModelNet40, and measure how it is impacted by voxel resolution of input shape.  demonstrate comparable classification and retrieval performance to state-of-the-art models, but with much less computational costs in training and inference phases.  also notice that benefits of higher input resolution can be limited by an ability of a neural network to generalize high level features.
['Alexandr Notchenko', 'Ermek Kapushev', 'Evgeny Burnaev']
I am writing a research paper on a idea Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval
[{"from": "human", "value": "I am writing a research paper on a idea Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   present preliminary results of performance evaluation of S3DCNN - a Sparse 3D Convolutional Neural Network - on a large-scale 3D Shape benchmark ModelNet40, and measure how it is impacted by voxel resolution of input shape.  demonstrate comparable classification and retrieval performance to state-of-the-art models, but with much less computational costs in training and inference phases.  also notice that benefits of higher input resolution can be limited by an ability of a neural network to generalize high level features."}]