Vehicle Recognition on ACIDS
95.66AccuracySupervised
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SupervisedEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 95.66 | 84.07 | |
| FOCALEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 95.16 | 85.8 | |
| FOCALEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 94.89 | 82.62 | |
| GMCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 94.02 | 77.66 | |
| MoCoEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 91.74 | 81 | |
| SupervisedEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 91.37 | 77.7 | |
| SimCLREncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 91.28 | 81.44 | |
| GMCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 90.96 | 79.29 | |
| TS-TCCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 90.41 | 75.47 | |
| MAEEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 85.16 | 70.23 | |
| CosmoEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 85.11 | 69.29 | |
| CMCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 84.43 | 72.44 | |
| TNCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 83.52 | 73.72 | |
| TNCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 82.37 | 69.36 | |
| CMCEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 81.28 | 68.57 | |
| MoCoEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 77.17 | 62.05 | |
| TS-TCCEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 76.67 | 61.64 | |
| SimCLREncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 74.38 | 61.01 | |
| TS2VecEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 71.83 | 57.48 | |
| CosmoEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 71.1 | 60.86 | |
| CocoaEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 70.96 | 57.94 | |
| MAEEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 66.44 | 56.18 | |
| CocoaEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 66.44 | 53.59 | |
| TS2VecEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 52.24 | 35.87 | |
| MTSSEncoder=DeepSense, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 43.52 | 24.41 | |
| MTSSEncoder=SW-T, Evaluation Protocol=Finetune with Linear Classifier2023.10 | 34.29 | 22.5 |