Multiclass Classification on Microsoft BIG Replicated setups 2015
99.2AccuracyLo et al. 2019
Evaluation results
| Method | Links | |
|---|---|---|
| Lo et al. 2019Backbone=Xception (36 layers)2026.07 | 99.2 | |
| Conti et al. 20222026.07 | 98.6 | |
| HilEnTSetup=Replicated from Lo et al. 2019, Backbone=3 convolutional layers2026.07 | 98.5 | |
| Hemalatha et al. 2021Backbone=DenseNet (98 layers)2026.07 | 98.5 | |
| HilEnTSetup=Replicated from Conti et al. 2022, Backbone=3 convolutional layers2026.07 | 97.9 | |
| HilEnTSetup=Replicated from Hemalatha et al. 2021, Backbone=3 convolutional layers2026.07 | 97.3 |