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)
    Cross-domain one-shot object detection framework
    Gradient reverse network
    Diagrams of example datasets. (a) Cityscapes; (b) Foggy Cityscapes
    Diagrams of example datasets. (a) Clipart; (b) PASCAL VOC
    Effect of domain classifier on network's feature extraction ability
    • 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.LILQLRLCPersonCarTrainmAP /%
      128.644.228.633.8
      232.555.232.139.9
      333.653.134.240.3
      431.353.531.538.8
      534.856.735.942.5
      635.157.636.343.0
      735.857.136.943.3
    • Table 2. Cross-domain classifier ablation experiment for virtual and real pictures

      View table

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

      No.LILQLRLCAeroCatCowSheepmAP /%
      135.164.776.264.560.1
      246.279.280.169.268.7
      346.678.380.667.168.2
      445.178.979.568.968.1
      549.580.581.269.870.3
      648.281.083.170.370.7
      748.681.783.570.171.0
    • 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

      MethodAeroCatCowSheepmAP /%
      SiamFC12.431.66.82.313.3
      SiamRPN3.521.715.915.714.2
      OSCD25.347.975.360.052.1
      COAE46.275.683.967.168.2
      Ours48.681.783.570.171.0
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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: Wei Lü (luwei@tju.edu.cn)

    DOI:10.3788/LOP212819

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