Researching | One-Shot Object Detection Based on Cross-Domain Learning

Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0415004(2023)

One-Shot Object Detection Based on Cross-Domain Learning

Jiawei Feng, Jinghui Chu, and Lü Wei^*

Author Affiliations

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

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Figures&Tables (8)

References (20)

Paper Information

Figures & Tables(8)

Fig. 1. Cross-domain one-shot object detection framework

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Fig. 2. Gradient reverse network

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Fig. 3. Diagrams of example datasets. (a) Cityscapes; (b) Foggy Cityscapes

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Fig. 4. Diagrams of example datasets. (a) Clipart; (b) PASCAL VOC

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Fig. 5. Effect of domain classifier on network's feature extraction ability

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Table 1. Cross-domain classifier ablation experiment under environmental differences
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Table 1. Cross-domain classifier ablation experiment under environmental differences
No. L_I L_Q L_R L_C Person Car Train mAP /%
1 28.6 44.2 28.6 33.8
2 √ 32.5 55.2 32.1 39.9
3 √ 33.6 53.1 34.2 40.3
4 √ 31.3 53.5 31.5 38.8
5 √ √ 34.8 56.7 35.9 42.5
6 √ √ √ 35.1 57.6 36.3 43.0
7 √ √ √ √ 35.8 57.1 36.9 43.3

Table 2. Cross-domain classifier ablation experiment for virtual and real pictures

Table 2. Cross-domain classifier ablation experiment for virtual and real pictures

No.	L_I	L_Q	L_R	L_C	Aero	Cat	Cow	Sheep	mAP /%
1					35.1	64.7	76.2	64.5	60.1
2	√				46.2	79.2	80.1	69.2	68.7
3		√			46.6	78.3	80.6	67.1	68.2
4			√		45.1	78.9	79.5	68.9	68.1
5	√	√			49.5	80.5	81.2	69.8	70.3
6	√	√	√		48.2	81.0	83.1	70.3	70.7
7	√	√	√	√	48.6	81.7	83.5	70.1	71.0

Table 3. Comparison of different algorithms under the PASCAL VOC dataset
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Table 3. Comparison of different algorithms under the PASCAL VOC dataset
Method Aero Cat Cow Sheep mAP /%
SiamFC 12.4 31.6 6.8 2.3 13.3
SiamRPN 3.5 21.7 15.9 15.7 14.2
OSCD 25.3 47.9 75.3 60.0 52.1
COAE 46.2 75.6 83.9 67.1 68.2
Ours 48.6 81.7 83.5 70.1 71.0

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Jiawei Feng, Jinghui Chu, Lü Wei. One-Shot Object Detection Based on Cross-Domain Learning[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0415004

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Paper Information

Category: Machine Vision

Received: Oct. 27, 2021

Accepted: Dec. 21, 2021

Published Online: Feb. 14, 2023

The Author Email: Lü Wei (luwei@tju.edu.cn)

DOI:10.3788/LOP212819

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology