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Models/MBR-4B (without RK)

MBR-4B (without RK)

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 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 Small
    mAP· 2023-10-02
    92.5
    SOTA
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Intelligent SurveillanceonVeRi-Wild Small
    Rank1· 2023-10-02
    96.6
    SOTA
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Intelligent SurveillanceonVeRi-Wild Small
    mAP· 2023-10-02
    88.9
    SOTA
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Vehicle Re-IdentificationonVehicleID Small
    mAP· 2023-10-02
    92.5
    SOTA
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Vehicle Re-IdentificationonVeRi-Wild Small
    Rank1· 2023-10-02
    96.6
    SOTA
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Vehicle Re-IdentificationonVeRi-Wild Small
    mAP· 2023-10-02
    88.9
    SOTA
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Intelligent SurveillanceonVehicleID Small
    Rank-1· 2023-10-02
    88.3
    best: 96.2 (Recall@k Surrogate loss (ViT-B/16))
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129
  • Vehicle Re-IdentificationonVehicleID Small
    Rank-1· 2023-10-02
    88.3
    best: 96.2 (Recall@k Surrogate loss (ViT-B/16))
    Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-IdentificationarXiv:2310.01129