Instance Segmentation On Ade20K Val
Metriken
AP
APL
APM
APS
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AP | APL | APM | APS |
|---|---|---|---|---|
| masked-attention-mask-transformer-for | 34.9 | 54.7 | 40 | 16.3 |
| masked-attention-mask-transformer-for | - | 43.1 | 28.9 | - |
| dilated-neighborhood-attention-transformer | 35.4 | 55.5 | 39.0 | 16.3 |
| masked-attention-mask-transformer-for | 26.4 | - | - | 10.4 |
| generalized-decoding-for-pixel-image-and | 35.8 | - | - | - |
| generalized-decoding-for-pixel-image-and | 38.7 | 59.6 | 43.3 | 18.9 |
| oneformer-one-transformer-to-rule-universal | 36.0 | - | - | - |
| oneformer-one-transformer-to-rule-universal | 35.9 | - | - | - |
| oneformer-one-transformer-to-rule-universal | 40.2 | 59.7 | 44.4 | 19.2 |
| oneformer-one-transformer-to-rule-universal | 44.2 | 64.3 | 49.9 | 23.7 |
| a-simple-framework-for-open-vocabulary | 42.6 | - | - | - |
| masked-attention-mask-transformer-for | 33.4 | 54.6 | 37.6 | 14.6 |