Vehicle Re Identification On Vehicleid Large
Metriken
Rank-1
Rank-5
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Rank-1 | Rank-5 |
|---|---|---|
| rethinking-ranking-based-loss-functions-only | 93.2 | 96.6 |
| recall-k-surrogate-loss-with-large-batches | 94.7 | 97.1 |
| attributenet-attribute-enhanced-vehicle-re | 80.5 | 94.6 |
| smooth-ap-smoothing-the-path-towards-large | 91.9 | 96.2 |
| vehicle-re-identification-using-quadruple | - | - |
| counterfactual-attention-learning-for-fine | 75.1 | - |
| msinet-twins-contrastive-search-of-multi | 77.9 | 91.7 |
| relation-preserving-triplet-mining-for | 92.9 | 96.3 |
| recall-k-surrogate-loss-with-large-batches | 93.8 | 96.6 |
| vehiclenet-learning-robust-feature | 79.46 | - |