Vehicle Recognition on MOD
98.05AccuracyFOCAL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FOCALEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 98.05 | 98 | |
| FOCALEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 97.32 | 97.29 | |
| TNCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 95.18 | 95.28 | |
| SupervisedEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 94.04 | 93.99 | |
| MoCoEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 93.9 | 93.84 | |
| GMCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 92.57 | 92.67 | |
| SimCLREncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 92.5 | 92.47 | |
| CMCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 91.96 | 91.86 | |
| CMCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 91.29 | 91.05 | |
| CosmoEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 89.89 | 89.98 | |
| SupervisedEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 89.48 | 89.31 | |
| SimCLREncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 88.55 | 88.55 | |
| MoCoEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 88.08 | 88.12 | |
| CocoaEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 87.74 | 87.64 | |
| TS-TCCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 87.34 | 87.35 | |
| TS-TCCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 87.07 | 87.35 | |
| GMCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 86.4 | 86.11 | |
| TNCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 85.33 | 85.39 | |
| MAEEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 78.03 | 77.72 | |
| TS2VecEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 76.69 | 76.48 | |
| TS2VecEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 72.54 | 71.74 | |
| CocoaEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 70.4 | 70.38 | |
| MAEEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 59.81 | 59.93 | |
| MTSSEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 42.06 | 41.63 | |
| MTSSEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 41.53 | 35.82 | |
| CosmoEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 34.29 | 33.78 |