Image Classification on LabelMe (test)
87.12AccuracyCoNAL
Evaluation Results
| Method | Links | |
|---|---|---|
| CoNALBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 87.12 | |
| WeaSELaggregation=MIG2021.07 | 86.36 | |
| MaxMIG2021.07 | 85.45 | |
| Max-MIGBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 85.33 | |
| Snorkelaggregation=MIG2021.07 | 85.15 | |
| AggNetBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 84.75 | |
| AggNet2021.07 | 84.35 | |
| DL-CLBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 83.27 | |
| DL-GLADBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 83.12 | |
| Snorkelaggregation=CE2021.07 | 82.89 | |
| CrowdLayer2021.07 | 82.83 | |
| Anno-RegBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 82.77 | |
| DL-WCBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 82.74 | |
| WeaSELaggregation=CE2021.07 | 82.46 | |
| Doctor NetBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 82.12 | |
| DoctorNet2021.07 | 81.31 | |
| DL-MVBackbone=VGG-16, Data augmentation=true, Dropout=50%, Batch normalization=true2020.12 | 79.83 | |
| Majority vote2021.07 | 79.23 | |
| MBEM2021.07 | 76.84 |