Action Triplet Recognition On Cholect50 1
Metriken
mAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | mAP |
|---|---|
| cholectriplet2021-a-benchmark-challenge-for | 16.0 |
| cholectriplet2021-a-benchmark-challenge-for | 18.4 |
| data-splits-and-metrics-for-method | 32.8 |
| cholectriplet2021-a-benchmark-challenge-for | 24.8 |
| cholectriplet2021-a-benchmark-challenge-for | 25.2 |
| cholectriplet2021-a-benchmark-challenge-for | 36.9 |
| cholectriplet2021-a-benchmark-challenge-for | 9.3 |
| cholectriplet2021-a-benchmark-challenge-for | 31.9 |
| cholectriplet2021-a-benchmark-challenge-for | 4.2 |
| cholectriplet2021-a-benchmark-challenge-for | 31.7 |
| recognition-of-instrument-tissue-interactions | 23.4 |
| cholectriplet2021-a-benchmark-challenge-for | 25.5 |
| cholectriplet2021-a-benchmark-challenge-for | 25.6 |
| cholectriplet2021-a-benchmark-challenge-for | 32.9 |
| data-splits-and-metrics-for-method | 27.7 |
| cholectriplet2021-a-benchmark-challenge-for | 26.7 |
| cholectriplet2021-a-benchmark-challenge-for | 9.8 |
| cholectriplet2021-a-benchmark-challenge-for | 26.3 |
| rendezvous-in-time-an-attention-based | 30.94 |
| dissecting-self-supervised-learning-methods | 35.7 |
| cholectriplet2021-a-benchmark-challenge-for | 10.4 |
| cholectriplet2021-a-benchmark-challenge-for | 32.7 |
| cholectriplet2021-a-benchmark-challenge-for | 35.8 |
| cholectriplet2021-a-benchmark-challenge-for | 38.1 |
| cholectriplet2021-a-benchmark-challenge-for | 18.1 |
| cholectriplet2021-a-benchmark-challenge-for | 32.0 |
| data-splits-and-metrics-for-method | 27.4 |