Research Article
Research on 24-Hour Dense Crowd Counting and Object Detection System Based on Multimodal Image Optimization Feature Fusion
Table 8
Comparison of the different state-of-the-art methods on MICC dataset.
| Model | MAE | MSE | + | MAE | MSE |
| MCNN [62] | 1.5 | 2.259 | +RDNA | 1.205 | 1.719 | MCNN-adaptive [61] | 1.489 | 2.114 | N/A | — | — | CSRNet [63] | 1.359 | 2.125 | +RDNA | 1.195 | 1.723 | CSRNet-adaptive [61] | 1.343 | 2.007 | N/A | — | — | RetinaNet [59] | 1.641 | 2.554 | +RDNA | 1.489 | 1.962 | DetNet [60] | 1.541 | 2.382 | +RDNA | 1.356 | 1.861 | Idrees et al. [61] | 1.396 | 2.642 | +RDNA | 1.299 | 1.849 | RDNet [65] | 1.38 | 2.551 | +RDNA | 1.289 | 1.787 | Cascaded-DCNet [64] | 0.836 | 1.031 | N/A | — | — | Ours (RGBD-Net + AGK) | 1.025 | 1.521 | — | — | — |
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