Object Classification on NORB (test)
93.42AccuracyBP-CNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BP-CNNTrials=10, Implementation status=Impl.2025.03 | 93.42 | — | — | — | |
| MPC-epiTrials=10, Saccade planning process=deterministic epistemic2025.03 | 88.78 | — | — | — | |
| MPC-stochTrials=10, Saccade planning process=stochastic foraging2025.03 | 88.41 | — | — | — | |
| GPC-fovTrials=10, Saccade planning process=fov2025.03 | 87.09 | — | — | — | |
| GPCTrials=102025.03 | 82.04 | — | — | — | |
| GPC-nwtaTrials=102025.03 | 80.73 | — | — | — | |
| BP-FNNTrials=10, Implementation status=Impl.2025.03 | 78.86 | — | — | — | |
| I-JEPATrials=102025.03 | 74.68 | — | — | — | |
| 4-net MCDNNtraining_set_size=first 2 folds, ensemble_size=42012.02 | — | 3.57 | — | — | |
| 4-net MCDNNtraining_set_size=all 10 folds, ensemble_size=42012.02 | — | 2.7 | — | — | |
| 9-layer DNNtraining_set_size=first 2 folds, ensemble_size=12012.02 | — | — | 4.72 | 0.16 | |
| 9-layer DNNtraining_set_size=all 10 folds, ensemble_size=12012.02 | — | — | 3.4 | 0.23 | |
| Previous state of the art [32]2012.02 | — | 5.6 | — | — | |
| Previous state of the art [8]2012.02 | — | 5 | — | — |