Research Article
Parallel CNN Network Learning-Based Video Object Recognition for UAV Ground Detection
Table 2
Experimental results based on channel pruning.
| Sheared layer | Pruning rate | Pruning time | Proportion parameters | Model accuracy |
| NULL | 0 | — | — | 77.64% | VGG16 | 0.2 | 16 h | 67.34% | 77.43% | VGG16 | 0.3 | 20 h | 53.58% | 77.05% | VGG16 | 0.4 | 36 h | 41.63% | 75.47% | VGG16 | 0.5 | 40 h | 31.56% | 73.29% | All layers | 0.2 | 18 h | 66.50% | 76.98% | All layers | 0.3 | 22 h | 52.32% | 76.42% | All layers | 0.4 | 38 h | 39.96% | 74.89% | All layers | 0.5 | 40 h | 29.47% | 72.48% |
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