Research Article
Small Object Detection Network Based on Feature Information Enhancement
Table 3
Test results on MS COCO 2017 test dev.
| Method | Backbone | Size | mAP (%), IOU | mAP (%), area | AR (%), area | 0.5:0.95 | 0.5 | 0.75 | S | M | L | S | M | L |
| YOLOv3 [10] | Darknet-53 | 608 × 608 | 33.0 | 57.9 | 34.4 | 18.3 | 35.4 | 41.9 | — | — | — | YOLOv4 [11] | CSPDarknet-53 | 608 × 608 | 41.2 | 62.8 | 44.3 | 20.4 | 44.4 | 56.0 | — | — | — | SSD512 [7] | VGG-16 | 512 × 512 | 28.8 | 48.5 | 30.3 | 10.9 | 31.8 | 43.5 | 16.5 | 46.6 | 60.8 | RFB512 [17] | VGG-16 | 512 × 512 | 34.4 | 55.7 | 36.4 | 17.6 | 37.0 | 49.7 | 27.3 | 52.3 | 65.4 | RefineDet512 [41] | VGG-16 | 512 × 512 | 33.0 | 54.5 | 35.5 | 16.3 | 36.3 | 44.3 | — | — | — | DSSD513 [34] | ResNet-101 | 513 × 513 | 33.2 | 53.3 | 35.2 | 13.0 | 35.4 | 51.5 | 21.8 | 49.1 | 66.4 | DETR [44] | ResNet-101 | — | 42.0 | 62.4 | 44.2 | 20.5 | 45.8 | 61.1 | — | — | — | SEFN512 [43] | VGG-16 | 512 × 512 | 33.7 | 54.7 | 35.6 | 19.2 | 38.0 | 47.3 | 29.1 | 52.5 | 63.2 | FIEN512 | VGG-16 | 512 × 512 | 34.8 | 54.8 | 37.3 | 20.6 | 40.0 | 48.2 | 30.5 | 55.0 | 64.3 |
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