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Models/vehiclenet

vehiclenet

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 Vision10 results

  • Intelligent SurveillanceonVehicleID Large
    Rank-1· uses extra data· 2020-04-14
    79.46
    best: 94.7 (Recall@k Surrogate loss (ViT-B/16))
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Intelligent SurveillanceonVehicleID Medium
    Rank-1· uses extra data· 2020-04-14
    81.35
    best: 95.2 (Recall@k Surrogate loss (ViT-B/16))
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Intelligent SurveillanceonVehicleID Small
    Rank-1· uses extra data· 2020-04-14
    83.64
    best: 96.2 (Recall@k Surrogate loss (ViT-B/16))
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Intelligent SurveillanceonVeRi
    Rank-1· uses extra data· 2020-04-14
    96.78
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Intelligent SurveillanceonVeRi
    mAP· uses extra data· 2020-04-14
    83.41
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Vehicle Re-IdentificationonVehicleID Large
    Rank-1· uses extra data· 2020-04-14
    79.46
    best: 94.7 (Recall@k Surrogate loss (ViT-B/16))
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Vehicle Re-IdentificationonVehicleID Medium
    Rank-1· uses extra data· 2020-04-14
    81.35
    best: 95.2 (Recall@k Surrogate loss (ViT-B/16))
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Vehicle Re-IdentificationonVehicleID Small
    Rank-1· uses extra data· 2020-04-14
    83.64
    best: 96.2 (Recall@k Surrogate loss (ViT-B/16))
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Vehicle Re-IdentificationonVeRi
    Rank-1· uses extra data· 2020-04-14
    96.78
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305
  • Vehicle Re-IdentificationonVeRi
    mAP· uses extra data· 2020-04-14
    83.41
    SOTA
    VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationarXiv:2004.06305