| action-triplet-recognition-on-cholect50-1 | Team Trequartista | #1 | mAP: 38.1 |
| action-triplet-recognition-on-cholect50-1 | Team 2Ai | #2 | mAP: 36.9 |
| action-triplet-recognition-on-cholect50-1 | Team SIAT CAMI | #3 | mAP: 35.8 |
| action-triplet-recognition-on-cholect50-1 | Team HFUT-MedIA | #5 | mAP: 32.9 |
| action-triplet-recognition-on-cholect50-1 | Rendezvous (TensorFlow v1) | #7 | mAP: 32.7 |
| action-triplet-recognition-on-cholect50-1 | Team CITI SJTU | #8 | mAP: 32.0 |
| action-triplet-recognition-on-cholect50-1 | Team ANL | #9 | mAP: 31.9 |
| action-triplet-recognition-on-cholect50-1 | Team Digital Surgery | #10 | mAP: 31.7 |
| action-triplet-recognition-on-cholect50-1 | Team Casia Robotics | #14 | mAP: 26.7 |
| action-triplet-recognition-on-cholect50-1 | Team Lsgroup | #15 | mAP: 26.3 |
| action-triplet-recognition-on-cholect50-1 | Team J&M | #16 | mAP: 25.6 |
| action-triplet-recognition-on-cholect50-1 | Attention Tripnet (TensorFlow v1) | #17 | mAP: 25.5 |
| action-triplet-recognition-on-cholect50-1 | Team Ceaiik | #18 | mAP: 25.2 |
| action-triplet-recognition-on-cholect50-1 | Team SJTU-IMR | #19 | mAP: 24.8 |
| action-triplet-recognition-on-cholect50-1 | Team SK | #21 | mAP: 18.4 |
| action-triplet-recognition-on-cholect50-1 | Team MMLAB | #22 | mAP: 18.1 |
| action-triplet-recognition-on-cholect50-1 | Team Band of Broeders | #23 | mAP: 16.0 |
| action-triplet-recognition-on-cholect50-1 | Team NCT-TSO | #24 | mAP: 10.4 |
| action-triplet-recognition-on-cholect50-1 | Team HFUT-NUS | #25 | mAP: 9.8 |
| action-triplet-recognition-on-cholect50-1 | Team CAMP | #26 | mAP: 9.3 |
| action-triplet-recognition-on-cholect50-1 | Team Med Recognizer | #27 | mAP: 4.2 |