Research Article
RETRACTED: Food Image Recognition and Food Safety Detection Method Based on Deep Learning
Table 1
Comparison of YOLO-SiamV1 and YOLO-SiamV2 twin network structures.
| YOLO-SiamV1 | YOLO-SiamV2 | Layer | Nuclear size | Number of channels | Step length | Layer | Nuclear size | Number of channels | Step length |
| Conv1 | 10×10 | 64 | 1 | Conv1 | 3×3 | 64 | 1 | Maxpooling | 2×2 | | 2 | Conv2 | 3×3 | 64 | 1 | Conv2 | 7×7 | 128 | 1 | Maxpooling | 2×2 | | 2 | Maxpooling | 2×2 | | 2 | Conv3 | 3×3 | 128 | 1 | Cinv3 | 4×4 | 128 | 1 | Conv4 | 3×3 | 128 | 1 | Maxpooling | 2×2 | | 2 | Maxpooling | 2×2 | | 2 | Conv4 | 4×4 | 256 | 1 | Conv5 | 3×3 | 256 | 1 | FC | | 4096 | | Conv6 | 3×3 | 256 | 1 | | | | | Maxpooling | 2×2 | | 2 | | | | | Conv7 | 3×3 | 512 | 1 | | | | | Conv8 | 3×3 | 512 | 1 | | | | | Maxpooling | 2×2 | | 2 | | | | | Conv9 | 3×3 | 512 | 1 | | | | | Conv10 | 3×3 | 512 | 1 | | | | | FC | | 4096 | |
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