Mask R-CNN Object Detection Method Based on Improved Feature Pyramid

Zhijun Ren; Suzhen Lin; Dawei Li; Lifang Wang; Jianhong Zuo

doi:10.3788/LOP56.041502

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 4 >Page 041502 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 4, 041502 (2019)

Mask R-CNN Object Detection Method Based on Improved Feature Pyramid

Zhijun Ren, Suzhen Lin^*, Dawei Li, Lifang Wang, and Jianhong Zuo

Author Affiliations

College of Big Data, North University of China, Taiyuan, Shanxi 030051, China

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DOI: 10.3788/LOP56.041502 Cite this Article Set citation alerts

Zhijun Ren, Suzhen Lin, Dawei Li, Lifang Wang, Jianhong Zuo. Mask R-CNN Object Detection Method Based on Improved Feature Pyramid[J]. Laser & Optoelectronics Progress, 2019, 56(4): 041502 Copy Citation Text

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Fig. 1. Flow chart of detection method

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Fig. 2. Flow chart of Mask R-CNN detection

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Fig. 3. Flow chart of improved detection framework

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Fig. 4. Concrete steps of reverse lateral connection

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Fig. 5. Fused feature map

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Method	Backbone	P_AP	P_AP50	P_AP75	P_APs	P_APm	P_APl
MNC[20]	ResNet-101-C4	24.6	44.3	24.8	4.7	25.9	43.6
FCIS[21]+OHEM	ResNet-101-C5-dilated	29.2	49.5	-	7.1	31.3	50.0
Mask R-CNN	ResNet-101-FPN	35.7	58.0	37.8	15.5	38.1	52.4
Proposed	ResNet-101-improved FPN	37.2	58.2	39.4	18.4	45.8	52.7

Table 1. Comparison of mAP results in instance segmentation%

Method	Backbone	P_APbb	P_AP50bb	P_AP75bb	P_APsbb	P_APmbb	P_APlbb
Faster R-CNN	ResNet-101-C4	34.9	55.7	37.4	15.6	38.7	50.9
Faster R-CNN with FPN	ResNet-101-FPN	36.2	59.1	39.0	18.2	39.0	48.2
Mask R-CNN	ResNet-101-FPN	38.2	60.3	41.7	20.1	41.1	50.2
Proposed	ResNet-101-improved FPN	42.3	61.4	45.6	24.2	49.6	51.3

Table 2. Comparison of mAP results in bounding box%

Zhijun Ren, Suzhen Lin, Dawei Li, Lifang Wang, Jianhong Zuo. Mask R-CNN Object Detection Method Based on Improved Feature Pyramid[J]. Laser & Optoelectronics Progress, 2019, 56(4): 041502

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