Vehicle Re Identification On Vehicleid Medium
Metrics
Rank-1
Rank-5
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Rank-1 | Rank-5 |
|---|---|---|
| rethinking-ranking-based-loss-functions-only | 94.2 | 96.9 |
| counterfactual-attention-learning-for-fine | 78.2 | - |
| attributenet-attribute-enhanced-vehicle-re | 82.8 | 96.2 |
| vehicle-re-identification-using-quadruple | - | - |
| smooth-ap-smoothing-the-path-towards-large | 93.3 | 96.4 |
| recall-k-surrogate-loss-with-large-batches | 94.6 | 96.9 |
| recall-k-surrogate-loss-with-large-batches | 95.2 | 97.2 |
| vehiclenet-learning-robust-feature | 81.35 | - |
| relation-preserving-triplet-mining-for | 93.3 | 96.5 |