Object Attribute Classification on CLEVR 1.0 (test)
66.74Accuracy (RC)DefGrid
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| DefGridTraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 66.74 | 68.6 | 68.35 | 78.97 | 40.92 | 62.98 | 23.48 | 33.07 | |
| LBSTraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 53.87 | 53.85 | 61.84 | 92.46 | 59.52 | 80.06 | 30.75 | 39.95 | |
| SimCLRTraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 26.97 | 26.26 | 38.88 | 82.33 | 56.88 | 77.39 | 23.45 | 24.95 | |
| E(2)-CNNTraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 26.82 | 25.4 | 39.3 | 79.48 | 53.54 | 72.18 | 23.35 | 24.8 | |
| LtDTraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 18.7 | 19.15 | 21.69 | 73.13 | 47.88 | 59.11 | 16.47 | 17.21 | |
| β-TCVAETraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 17.04 | 18.46 | 18.88 | 71.32 | 37.14 | 56.81 | 15.63 | 16.43 | |
| GeoSSLTraining Dataset=STL-10, Evaluation Protocol=Linear Classification2023.04 | 14.41 | 14.73 | 14.37 | 77.47 | 48.1 | 55.63 | 13.71 | 13.63 |