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Models/PseCo

PseCo

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision5 results

  • Semi-Supervised Object DetectiononCOCO 100% labeled data
    mAP· 2022-03-30
    46.1
    best: 55.2 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • Semi-Supervised Object DetectiononCOCO 10% labeled data
    mAP· 2022-03-30
    36.06
    best: 44.6 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • Semi-Supervised Object DetectiononCOCO 2% labeled data
    mAP· 2022-03-30
    27.77
    best: 34.7 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • Semi-Supervised Object DetectiononCOCO 5% labeled data
    mAP· 2022-03-30
    32.5
    best: 40.1 (Semi-DETR)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • Semi-Supervised Object DetectiononCOCO 1% labeled data
    mAP· 2022-03-30
    22.43
    best: 31.7 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317

Methodology5 results

  • 2D Object DetectiononCOCO 100% labeled data
    mAP· 2022-03-30
    46.1
    best: 55.2 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • 2D Object DetectiononCOCO 10% labeled data
    mAP· 2022-03-30
    36.06
    best: 44.6 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • 2D Object DetectiononCOCO 2% labeled data
    mAP· 2022-03-30
    27.77
    best: 34.7 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • 2D Object DetectiononCOCO 5% labeled data
    mAP· 2022-03-30
    32.5
    best: 40.1 (Semi-DETR)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317
  • 2D Object DetectiononCOCO 1% labeled data
    mAP· 2022-03-30
    22.43
    best: 31.7 (MixPL)
    SOTA
    PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object DetectionarXiv:2203.16317