Crowd Counting On Worldexpo10
Metriken
Average MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Average MAE |
|---|---|
| divide-and-grow-capturing-huge-diversity-in | 11.3 |
| scale-aggregation-network-for-accurate-and | 8.2 |
| learning-spatial-awareness-to-improve-crowd | 7.7 |
| single-image-crowd-counting-via-multi-column-1 | 11.6 |
| decidenet-counting-varying-density-crowds | 9.23 |
| context-aware-crowd-counting | 7.4 |
| switching-convolutional-neural-network-for | 9.4 |
| encoder-decoder-based-convolutional-neural | 7.32 |
| generating-high-quality-crowd-density-maps | 8.9 |
| crowd-counting-via-adversarial-cross-scale | 7.5 |
| cross-scene-crowd-counting-via-deep | 12.9 |
| crowd-counting-with-deep-negative-correlation | 9.1 |
| csrnet-dilated-convolutional-neural-networks | 8.6 |
| context-aware-crowd-counting | 7.2 |
| iterative-crowd-counting | 10.3 |