Research Article
An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network
Table 1
The structure of ResNet50.
| | Layer name | Output size | 50-layer |
| | Conv1 | 112 112 | 7 7, 64, stride 2 | | 56 56 | 3 3 max pool, stride 2 | | Conv2_x | 56 56 | | | Conv3_x | 28 28 | | | Conv4_x | 14 × 14 | | | Conv5_x | 7 7 | | | 1 1 | Average pool, 1000-d fc, softmax |
| | FLOPs | 3.8 109 |
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