Semantic Segmentation on Barcelona (test)
74.6Global AccuracyVGG-conv5-DAG-RNN(8)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| VGG-conv5-DAG-RNN(8)Backbone=VGG-conv5, RNN iterations=82015.09 | 74.6 | 24.6 | |
| VGG-conv5-DAG-RNN(8)Backbone=VGG-conv5, DAG-RNN=true, Iterations=82015.09 | 74.6 | 24.6 | |
| VGG-conv5-ENNBackbone=VGG-conv5, ENN=true2015.09 | 73.3 | 21.1 | |
| VGG-conv5-ENNBackbone=VGG-conv5, ENN=true2015.09 | 73.3 | 21.1 | |
| CNN-65-DAG-RNN(8)Backbone=CNN-65, RNN iterations=82015.09 | 72.4 | 14.5 | |
| CNN-65-DAG-RNN(8)Backbone=CNN-65, DAG-RNN=true, Iterations=82015.09 | 72.4 | 14.5 | |
| CNN-65-DAG-RNN(4)Backbone=CNN-65, RNN iterations=42015.09 | 71.3 | 12.9 | |
| CNN-65-DAG-RNN(4)Backbone=CNN-65, DAG-RNN=true, Iterations=42015.09 | 71.3 | 12.9 | |
| CNN-65Backbone=CNN-652015.09 | 69 | 10.5 | |
| CNN-65-ENNBackbone=CNN-65, ENN=true2015.09 | 69 | 11 | |
| CNN-65Backbone=CNN-652015.09 | 69 | 10.5 | |
| CNN-65-ENNBackbone=CNN-65, ENN=true2015.09 | 69 | 11 | |
| Farabet et al.ranking_in_table=second entry2015.09 | 67.8 | 9.5 | |
| Farabet et al.variant=22015.09 | 67.8 | 9.5 | |
| Tighe et al.2015.09 | 66.9 | 7.6 | |
| Tighe et al.2015.09 | 66.9 | 7.6 | |
| Farabet et al.ranking_in_table=first entry2015.09 | 46.4 | 12.5 | |
| Farabet et al.variant=12015.09 | 46.4 | 12.5 |