Journal of Applied Optics, Volume. 43, Issue 3, 472(2022)
Aviation fastener rotation detection for intelligent optical perception with edge computing
Figures & Tables(10)
Fig. 2. Enhanced semantics and optimized space feature fusion mechanism
Table 1. Comparison with cutting-edge rotation bounding box detection methods
View tableView in ArticleTable 1. Comparison with cutting-edge rotation bounding box detection methods
方法 来源 参数量/ MB PL/% BD/% BR/% GTF/% SV/% LV/% SH/% TC/% BC/% ST/% SBF/% RA/% HA/% SP/% HC/% mAP/% FR-O[ 20 ]CVPR2018 242 79.42 77.13 17.70 64.05 35.30 38.02 37.16 89.41 69.64 59.28 50.30 52.91 47.89 47.40 46.30 54.13 TOSO[ 21 ]ICASSP2020 212 80.17 65.59 39.82 39.95 49.71 65.01 53.58 81.45 44.66 78.51 48.85 56.73 64.40 64.24 36.75 57.92 PIoU Loss[ 22 ]ECCV2020 − 80.90 69.70 24.10 60.20 38.30 64.40 64.80 90.90 77.20 70.40 46.50 37.10 57.10 61.90 64.00 60.50 Axis Learning[ 23 ]RS2020 − 79.53 77.15 38.59 61.15 67.53 70.49 76.30 89.66 79.07 83.53 47.27 61.01 56.28 66.06 36.05 65.98 MARNet[ 24 ]IJRS2021 − 88.91 77.91 39.88 71.17 62.79 58.96 66.25 90.87 73.73 79.04 57.57 64.33 62.47 61.64 51.80 67.15 GSDet[ 25 ]TIP2021 − 81.12 76.78 40.78 75.89 64.50 58.37 74.21 89.92 79.40 78.83 64.54 63.67 66.04 58.01 52.13 68.28 RADet[ 26 ]RS2020 − 79.45 76.99 48.05 65.83 65.46 74.40 68.86 89.70 78.14 74.97 49.92 64.63 66.14 71.58 62.16 69.09 RoI Transformer[ 27 ]CVPR2019 273 88.64 78.52 43.44 75.92 68.81 73.68 83.59 90.74 77.27 81.46 58.39 53.54 62.83 58.93 47.67 69.56 BBAVectors[ 28 ]WACV2021 276 88.35 79.96 50.69 62.18 78.43 78.98 87.94 90.85 83.58 84.35 54.13 60.24 65.22 64.28 55.70 72.32 SCRDet[ 29 ]ICCV2019 427 89.98 80.65 52.09 68.36 68.36 60.32 72.41 90.85 87.94 86.86 65.02 66.68 66.25 68.24 65.21 72.61 GLS-Net[ 30 ]RS2020 − 88.65 77.40 51.20 71.03 73.30 72.16 84.68 90.87 80.43 85.38 58.33 62.27 67.58 70.69 60.42 72.96 R3Det[ 6 ]AAAI2021 787 88.76 83.09 50.91 67.27 76.23 80.39 86.72 90.78 84.68 83.24 61.98 61.35 66.91 70.63 53.94 73.79 FEDet[ 31 ]ICCSE2021 − 89.09 79.87 51.13 70.20 78.42 80.54 87.84 90.86 83.91 85.31 58.33 66.90 67.74 69.74 63.43 74.89 TricubeNet[ 32 ]WACV2022 − 88.75 82.12 49.24 72.98 77.64 74.53 84.65 90.81 86.02 85.38 58.69 63.59 73.82 69.67 71.08 75.26 Beyond Bounding-Box[ 33 ]CVPR2021 − 89.08 83.20 54.37 66.87 81.23 80.96 87.17 90.21 84.32 86.09 52.34 69.94 75.52 80.76 67.96 76.67 OLAFDet 18 89.28 85.09 48.75 64.65 80.81 84.70 88.09 90.70 86.72 87.41 60.14 67.12 75.02 81.55 67.39 77.16
Table 2. Experimental results of ablation analyses
View tableView in ArticleTable 2. Experimental results of ablation analyses
基准模型 OLAFDet 检测框类型 水平框 旋转框 旋转框 旋转框 高斯类环形平滑标签 √ √ √ 强化语义和优化空间 √ √ 空洞幻影模块 √ mAP/% 42.32 76.86 77.17 77.16 参数量/MB 14.8 15.8 21.3 18.0
Table 3. Test results of aviation fastener detection
% View tableView in ArticleTable 3. Test results of aviation fastener detection
% 类别 螺栓 垫片 螺帽 圆柱销 铆钉 螺钉 APs 100.00 100.00 100.00 100.00 100.00 100.00 APm 100.00 100.00 98.93 99.99 99.12 100.00 AP 100.00 100.00 99.17 99.99 99.43 100.00 mAP 99.76
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Changhong FU, Kunhui CHEN, Kunhan LU, Guangze ZHENG, Jilin ZHAO. Aviation fastener rotation detection for intelligent optical perception with edge computing[J]. Journal of Applied Optics, 2022, 43(3): 472
Paper Information
Category: OPTICAL METROLOGY AND MEASUREMENT
Received: Mar. 7, 2022
Accepted: --
Published Online: Jun. 7, 2022
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