Research Article
Vehicle Attribute Recognition for Normal Targets and Small Targets Based on Multitask Cascaded Network
Table 2
Parameters of the classification subnetwork of MC-CNN-NT.
| | Layer | Type | Number | Size | Stride | Padding |
| | 1 | Conv | 64 | 3 × 3 | 1 | 2 | | 2 | Conv | 64 | 3 × 3 | 1 | 2 | | 3 | Pool | 64 | 2 × 2 | 2 | 0 | | 4 | Conv | 128 | 3 × 3 | 1 | 2 | | 5 | Conv | 128 | 3 × 3 | 1 | 2 | | 6 | Pool | 128 | 2 × 2 | 2 | 0 | | 7 | Conv | 256 | 3 × 3 | 1 | 2 | | 8 | Conv | 256 | 3 × 3 | 1 | 2 | | 8 | Conv | 256 | 3 × 3 | 1 | 2 | | 10 | Conv | 256 | 3 × 3 | 1 | 2 | | 11 | Pool | 256 | 2 × 2 | 2 | 0 | | 12 | Conv | 512 | 3 × 3 | 1 | 2 | | 13 | Conv | 512 | 3 × 3 | 1 | 2 | | 14 | Conv | 512 | 3 × 3 | 1 | 2 | | 15 | Conv | 512 | 3 × 3 | 1 | 2 | | 16 | Pool | 512 | 2 × 2 | 2 | 0 | | 17 | Conv | 512 | 3 × 3 | 1 | 2 | | 18 | Conv | 512 | 3 × 3 | 1 | 2 | | 19 | Conv | 512 | 3 × 3 | 1 | 2 | | 20 | Conv | 512 | 3 × 3 | 1 | 2 | | 21 | Pool | 512 | 2 × 2 | 2 | 0 | | 22 | FC | 4096 | 1 × 1 | — | — | | 23 | FC | 4096 | 1 × 1 | — | — | | 24 | FC | 6 | 1 × 1 | — | — | | 25 | Softmax | — | — | — | — |
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