Optics and Precision Engineering, Volume. 32, Issue 22, 3395(2024)
Crowd counting method based on dense connection attention and scale perception recombination enhancement
Figures & Tables(18)
Table 1. Experimental results of different data centralization with heavy λ values
View tableView in ArticleTable 1. Experimental results of different data centralization with heavy λ values
权重λ SHA SHB UCF-QNRF JHU＿CROWD++ MAE MSE MAE MSE MAE MSE MAE MSE 1.0 65.1 122.1 14.7 20.0 86.3 177.7 74.1 273.6 0.9 63.2 111.4 13.9 18.9 84.2 156.3 72.9 269.0 0.8 62.7 108.8 12.5 17.4 82.6 155.4 70.2 264.9 0.7 61.0 107.2 11.0 16.7 80.1 154.0 68.5 258.1 0.6 59.4 105.3 10.2 15.1 79.8 153.8 66.9 254.7 0.5 58.6 104.7 9.6 13.4 78.0 152.3 64.2 253.2 0.4 57.2 103.2 8.9 12.1 77.4 148.1 62.1 250.6 0.3 56.8 101.4 7.2 10.5 76.2 146.7 59.6 248.1 0.2 56.1 100.2 6.3 9.9 75.6 145.0 58.3 246.9 0.1 55.4 99.6 5.8 9.3 74.3 143.1 57.3 245.3
Table 2. Experimental results of different models on ShanghaiTech
View tableView in ArticleTable 2. Experimental results of different models on ShanghaiTech
方法 SHA SHB MAE MSE MAE MSE MCNN［ 8 ］110.5 173.0 26.8 41.3 CSRNet［ 9 ］68.5 115.4 10.9 16.2 ACSCP［ 12 ］75.2 102.1 17.0 27.1 DM-Count［ 22 ］58.8 95.4 7.1 11.5 DCANet［ 23 ］61.1 108.2 8.4 15.0 FIDTM［ 24 ］57.4 103.9 7.3 12.0 MP-Count［ 25 ］57.0 103.1 7.2 12.4 FFDB［ 26 ］56.6 100.7 6.8 10.6 本文方法 55.4 99.6 5.8 9.3
Table 3. Experimental results of different models on UCF-QNRF
View tableView in ArticleTable 3. Experimental results of different models on UCF-QNRF
方法 UCF-QNRF MAE MSE Switch-CNN［ 27 ］228.4 426.3 TEDNet［ 28 ］112.9 187.7 DUBNet［ 29 ］105.8 180.9 DM-Count［ 22 ］85.2 148.0 DCANet［ 23 ］99.0 177.3 FIDTM［ 24 ］88.7 153.1 MP-Count［ 25 ］88.5 151.3 FFDB［ 26 ］78.1 148.6 本文方法 74.3 143.1
Table 4. Experimental results of different models on JHU＿CROWD++
View tableView in ArticleTable 4. Experimental results of different models on JHU＿CROWD++
方法 JHU＿CROWD++ MAE MSE MCNN［ 8 ］188.2 482.7 CRSNet［ 9 ］86.1 309.5 CAN［ 11 ］99.4 313.2 DM-Count［ 22 ］68.2 287.0 DCANet［ 23 ］71.1 177.4 FIDTM［ 24 ］65.8 253.1 MP-Count［ 25 ］70.9 260.7 FFDB［ 26 ］59.2 255.0 本文方法 57.3 245.3
Table 5. Model quantitative index comparison
View tableView in ArticleTable 5. Model quantitative index comparison
方法 JHU＿CROWD++ Param/M GFLOPs/G MCNN［ 8 ］0.13 56.21 CRSNet［ 9 ］16.26 857.84 CAN［ 11 ］18.1 93.58 DM-Count［ 22 ］21.5 60.8 DCANet［ 23 ］35.2 117.6 FIDTM［ 24 ］56.7 70.34 MP-Count［ 25 ］51.4 78.2 FFDB［ 26 ］47.1 79.8 本文方法 23.3 42.49
Table 6. Comparison of model generalization
View tableView in ArticleTable 6. Comparison of model generalization
模型部署 方法 MAE MSE JHU＿CROWD++到SHA FIDTM［ 24 ］88.6 150.0 MP-Count［ 25 ］86.9 145.5 FFDB［ 26 ］84.2 142.8 本文方法 66.1 127.4 JHU＿CROWD++到SHB FIDTM［ 24 ］97.2 195.5 MP-Count［ 25 ］96.4 192.0 FFDB［ 26 ］95.9 188.1 本文方法 84.7 155.2 JHU＿CROWD++到UCF-QNRF FIDTM［ 24 ］106.2 296.4 MP-Count［ 25 ］94.7 294.8 FFDB［ 26 ］89.4 291.0 本文方法 55.1 223.8
Table 7. Comparison of ablation experimental indicators
View tableView in ArticleTable 7. Comparison of ablation experimental indicators
Backbone 模块 MAE MSE Param GFLOs B1 B2 B3 B4 B5 √ 86.6 314.1 8.9 22.87 √ √ 82.3 301.2 10.2 25.42 √ √ √ 79.1 298.3 11.6 29.7 √ √ √ √ 68.4 277.5 15.8 33.1 √ √ √ √ √ 61.2 255.4 18.3 39.5 √ √ √ √ √ √ 57.3 245.3 23.3 42.49
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Yong CHEN, Ke DONG, Zhuoaobo AN, Jianyu ZHOU. Crowd counting method based on dense connection attention and scale perception recombination enhancement[J]. Optics and Precision Engineering, 2024, 32(22): 3395
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Received: Apr. 20, 2024
Accepted: --
Published Online: Mar. 10, 2025
The Author Email: Yong CHEN (edukeylab@126.com)
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