Review Article
[Retracted] Multiobject Detection Algorithm Based on Adaptive Default Box Mechanism
Table 3
AP results based on the MS COCO test set.
| Algorithm | Training set | Basic network | Pretraining | APIoU (%) | APArea (%) | AP0.5 ∼ 0.95 | AP0.5 | AP0.75 | APS | APM | APL |
| Faster RCNN [18] | COCO trainval | VGGNet | Yes | 21.9 | 42.7 | — | — | — | — | YOLO v2 [23] | COCO trainval35k | Darknet-19 | Yes | 21.6 | 44 | 19.2 | 5 | 22.4 | 35.5 | SSD300 [26] | COCO trainval35k | VGGNet | Yes | 25.1 | 43.1 | 25.8 | 6.6 | 25.9 | 41.4 | SSD512 [26] | COCO trainval35k | VGGNet | Yes | 28.8 | 48.5 | 30.3 | 10.9 | 31.8 | 43.5 | DSSD321 [27] | COCO trainval35k | ResNet-101 | Yes | 28 | 46.1 | 29.2 | 7.4 | 28.1 | 47.6 | DSSD513 [27] | COCO trainval35k | ResNet-101 | Yes | 33.2 | 53.3 | 35.2 | 13 | 35.4 | 51.1 | RSSD300 [28] | COCO trainval35k | VGGNet | Yes | 27.3 | 45.8 | 28.9 | 7.2 | 27.8 | 46.8 | RSSD512 [28] | COCO trainval35k | VGGNet | Yes | 32.8 | 52.7 | 34.7 | 12.4 | 34.6 | 50.7 | Our SSD300 | COCO trainval35k | VGGNet | Yes | 29.4 | 47.3 | 30.8 | 9.2 | 30.3 | 49.3 | Our SSD512 | COCO trainval35k | VGGNet | Yes | 35.3 | 54.8 | 36.4 | 14.3 | 37.2 | 53.2 |
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