Vehicle Re Identification On Vehicleid Small
Metrics
Rank-1
Rank-5
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Rank-1 | Rank-5 |
|---|---|---|
| recall-k-surrogate-loss-with-large-batches | 95.7 | 97.9 |
| clip-reid-exploiting-vision-language-model | 85.5 | 97.2 |
| exploring-spatial-significance-via-hybrid | - | - |
| rethinking-ranking-based-loss-functions-only | 95.5 | 97.8 |
| vehicle-re-identification-using-quadruple | - | - |
| recall-k-surrogate-loss-with-large-batches | 96.2 | 98.0 |
| strength-in-diversity-multi-branch | 88.3 | - |
| attributenet-attribute-enhanced-vehicle-re | 87.9 | 97.8 |
| smooth-ap-smoothing-the-path-towards-large | 94.9 | 97.6 |
| git-graph-interactive-transformer-for-vehicle | - | - |
| vehiclenet-learning-robust-feature | 83.64 | - |
| relation-preserving-triplet-mining-for | 95.5 | 97.4 |
| counterfactual-attention-learning-for-fine | 82.5 | - |