Scene labeling on SiftFlow (test)
85.3Global AccuracyVGG-conv5-DAG-RNN(8)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| VGG-conv5-DAG-RNN(8)Experimental setting=Setting 2, Backbone=VGG-conv5, Neighborhood system=82015.09 | 85.3 | 55.7 | |
| Long et al.Experimental setting=Setting 22015.09 | 85.2 | 51.7 | |
| VGG-conv5-ENNExperimental setting=Setting 2, Backbone=VGG-conv52015.09 | 84 | 48.8 | |
| CNN-65-DAG-RNN(8)Experimental setting=Setting 1, Backbone=CNN-65, Neighborhood system=82015.09 | 81.1 | 48.2 | |
| CNN-65-DAG-RNN(4)Experimental setting=Setting 1, Backbone=CNN-65, Neighborhood system=42015.09 | 80.5 | 42.6 | |
| Shuai et al.Experimental setting=Setting 12015.09 | 80.1 | 39.7 | |
| Yang et al.Experimental setting=Setting 12015.09 | 79.8 | 48.7 | |
| Sharma et al.Experimental setting=Setting 12015.09 | 79.6 | 33.6 | |
| Tighe et al.Experimental setting=Setting 12015.09 | 79.2 | 39.2 | |
| Farabet et al.Experimental setting=Setting 12015.09 | 78.5 | 29.4 | |
| Pinheiro et al.Experimental setting=Setting 12015.09 | 77.7 | 29.8 | |
| CNN-65Experimental setting=Setting 1, Backbone=CNN-652015.09 | 76.1 | 32.5 | |
| CNN-65-ENNExperimental setting=Setting 1, Backbone=CNN-652015.09 | 76.1 | 37 | |
| Liu et al.Experimental setting=Setting 12015.09 | 74.8 | — | |
| Byeon et al.Experimental setting=Setting 12015.09 | 70.1 | 22.6 |