Table 2 Comparison of detection results based on one-stage with and without EADF.
From: Enhancing aphid detection framework based on ORB and convolutional neural networks
Models | Backbone | AP | \(AP_{50}\) | \(AP_{75}\) | \(AP_{S}\) | \(AP_{M}\) | \(AR_{1}\) | \(AR_{10}\) | \(AR_{100}\) | \(AR_{S}\) | \(AR_{M}\) |
|---|---|---|---|---|---|---|---|---|---|---|---|
RetinaNet-EADF | ResNet-50 | 0.439 | 0.797 | 0.452 | 0.428 | 0.474 | 0.047 | 0.343 | 0.515 | 0.507 | 0.535 |
RetinaNet | ResNet-50 | 0.054 | 0.214 | 0.006 | 0.017 | 0.152 | 0.017 | 0.072 | 0.201 | 0.153 | 0.336 |
RetinaNet-EADF | ResNet-101 | 0.442 | 0.792 | 0.475 | 0.433 | 0.471 | 0.047 | 0.343 | 0.521 | 0.516 | 0.536 |
RetinaNet | ResNet-101 | 0.117 | 0.425 | 0.016 | 0.067 | 0.235 | 0.023 | 0.132 | 0.260 | 0.214 | 0.391 |
SSD-EADF | SSD300-VGG16 | 0.313 | 0.624 | 0.286 | 0.297 | 0.359 | 0.041 | 0.282 | 0.429 | 0.421 | 0.452 |
SSD | SSD300-VGG16 | 0.027 | 0.121 | 0.003 | 0.008 | 0.079 | 0.012 | 0.059 | 0.116 | 0.078 | 0.223 |
SSD-EADF | SSD512-VGG16 | 0.348 | 0.651 | 0.342 | 0.339 | 0.374 | 0.044 | 0.297 | 0.463 | 0.457 | 0.481 |
SSD | SSD512-VGG16 | 0.181 | 0.559 | 0.056 | 0.136 | 0.301 | 0.031 | 0.189 | 0.290 | 0.244 | 0.423 |