Opto-Electronic Engineering, Volume. 49, Issue 7, 210429(2022)

Interactive instance proposal network for HOI detection

Lixia Xue... Kaijian Yin, Ronggui Wang and Juan Yang* |Show fewer author(s)
Author Affiliations
  • School of Computer and Information, Hefei University of Technology, Hefei, Anhui 230031, China
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    Figures & Tables(13)
    Pipeline of human object interaction detection
    Overview of human object interaction detection based on interactive instance proposal network
    Interactive instance proposal network
    Structure of cross-modal information fusion module
    Comparison of IIPN (bottom row) with Faster-RCNN (upper row)
    Visualization of detection results on HICO-DET
    Visualization of fusion attention
    • Table 1. Experimental results on HICO-DET test set of different approaches

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      Table 1. Experimental results on HICO-DET test set of different approaches

      MethodDefaultKnown Object
      FullRareNon-RareFullRareNon-Rare
      Shen et al.[27]6.464.247.12---
      HO-RCNN[9]7.815.378.5410.418.9410.85
      iCAN[8]14.8410.4516.1516.2611.3317.73
      RPNN[11]17.3512.7818.71---
      PMFNet[31]17.4615.6518.0020.3417.4721.20
      DRG[7]19.2617.7419.7123.4021.7523.89
      Peyre et al.[32]19.4014.6020.90---
      VCL[10]19.4316.5520.2922.0019.0922.87
      BaseLine19.0514.7220.3521.2218.0622.88
      IIPN(Ours)19.9015.8421.1223.1319.0824.33
    • Table 2. Experimental results on V-COCO test set of different approaches

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      Table 2. Experimental results on V-COCO test set of different approaches

      MethodmAParole
      Gupta et al.[39]31.8
      GPNN[24]44.0
      iCAN[8]45.3
      RPNN[11]47.5
      VCL[10]48.3
      PMFNet w/o human pose[31]48.6
      PMFNet[31]52.0
      IIPN(Ours)50.3
    • Table 3. Ablation studies of the proposed module on HICO-DET

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      Table 3. Ablation studies of the proposed module on HICO-DET

      MethodDefault(Full)Known Object(Full)
      BaseLine19.0521.22
      BaseLine + IIPN w/o attention19.3321.92
      BaseLine + IIPN with attention19.7222.33
      BaseLine + CIFM w/o attention19.2621.74
      BaseLine + CIFM with attention19.6021.89
      BaseLine + IIPN + CIFM (Ours)19.9023.13
    • Table 4. Effects of different M and N on experimental results

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      Table 4. Effects of different M and N on experimental results

      Default
      FullRareNon-Rare
      M=6, N=219.5315.1220.43
      M=6, N=319.7715.7420.99
      M=6, N=419.5615.7120.03
      M=8, N=219.6615.6720.86
      M=8, N=319.9015.8421.12
      M=8, N=419.6015.7020.76
    • Table 5. Influence of different characteristics on experimental results

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      Table 5. Influence of different characteristics on experimental results

      fhfoSPfufsemmAP
      19.03
      19.35
      19.63
      19.78
      19.90
    • Table 6. Influence of different kon experimental results

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      Table 6. Influence of different kon experimental results

      Number of kResult on V-COCOResult on HICO-DET
      k=149.419.81
      k=250.319.90
      k=349.919.85
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    Lixia Xue, Kaijian Yin, Ronggui Wang, Juan Yang. Interactive instance proposal network for HOI detection[J]. Opto-Electronic Engineering, 2022, 49(7): 210429

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    Paper Information

    Category: Article

    Received: Jan. 10, 2022

    Accepted: --

    Published Online: Aug. 1, 2022

    The Author Email: Yang Juan (yangjuan6985@163.com)

    DOI:10.12086/oee.2022.210429

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