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Models/QD-DLF

QD-DLF

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision8 results

  • Intelligent SurveillanceonVehicleID Large
    mAP· 2018-11-13
    68.41
    best: 80.9 (CAL)
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Intelligent SurveillanceonVehicleID Medium
    mAP· 2018-11-13
    74.63
    best: 83.8 (CAL)
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Intelligent SurveillanceonVeRi-776
    mAP· 2018-11-13
    61.83
    best: 92.1 (MBR4B-LAI (w/ RK))
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Intelligent SurveillanceonVehicleID Small
    mAP· 2018-11-13
    76.54
    best: 92.5 (MBR-4B (without RK))
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Vehicle Re-IdentificationonVehicleID Large
    mAP· 2018-11-13
    68.41
    best: 80.9 (CAL)
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Vehicle Re-IdentificationonVehicleID Medium
    mAP· 2018-11-13
    74.63
    best: 83.8 (CAL)
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Vehicle Re-IdentificationonVeRi-776
    mAP· 2018-11-13
    61.83
    best: 92.1 (MBR4B-LAI (w/ RK))
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163
  • Vehicle Re-IdentificationonVehicleID Small
    mAP· 2018-11-13
    76.54
    best: 92.5 (MBR-4B (without RK))
    SOTA
    Vehicle Re-identification Using Quadruple Directional Deep Learning FeaturesarXiv:1811.05163