研究文章
Multibranch对象检测方法对交通场景
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| 分表2 |
| 模型 |
平均 |
拥挤(白天) |
| C |
CP |
P |
B |
BI |
米 |
T |
|
| RCNN [4] |
43.94 |
42.12 |
38.28 |
40.32 |
55.17 |
41.31 |
44.14 |
46.25 |
| 快RCNN [9] |
47.73 |
50.25 |
43.47 |
51.06 |
57.28 |
45.27 |
44.04 |
42.74 |
| SSD (15] |
58.00 |
59.27 |
51.32 |
62.21 |
66.57 |
57.22 |
58.18 |
51.21 |
| 面具RCNN [13] |
57.78 |
55.25 |
58.67 |
60.20 |
70.23 |
56.56 |
52.33 |
51.19 |
| SINet [2] |
64.95 |
66.58 |
57.57 |
65.35 |
73.33 |
61.01 |
65.59 |
65.20 |
| YOLOv3 [17] |
60.03 |
63.63 |
55.72 |
58.34 |
68.63 |
58.01 |
56.70 |
59.21 |
| MBNet网 |
66.45 |
65.78 |
61.06 |
63.74 |
76.59 |
65.70 |
66.81 |
65.46 |
|
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