Live Streaming Risk Assessment on May Dataset 1.0 (test)
71.21F1-scoreLPCD
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LPCDBackbone=AC-MIL2026.06 | 71.21 | — | 88.32 | 11.58 | 78.41 | |
| CS-VARMethod Identity=Proposed Method2026.01 | 70.99 | 77.21 | 87.61 | 11.9 | — | |
| AC-MIL + IB-IRMBackbone=AC-MIL, OOD Plug-in Paradigm=IL, OOD Plug-in=IB-IRM2026.06 | 70.8 | — | 87.66 | 12.19 | 77.19 | |
| AC-MIL + GroupDROBackbone=AC-MIL, OOD Plug-in Paradigm=DRO, OOD Plug-in=GroupDRO2026.06 | 70.49 | — | 87.71 | 12.05 | 77.16 | |
| AC-MIL + ASGDROBackbone=AC-MIL, OOD Plug-in Paradigm=DRO, OOD Plug-in=ASGDRO2026.06 | 70.38 | — | 87.66 | 12.22 | 77.15 | |
| AC-MIL + IRMBackbone=AC-MIL, OOD Plug-in Paradigm=IL, OOD Plug-in=IRM2026.06 | 70.33 | — | 87.81 | 12.13 | 76.99 | |
| AC-MIL + CORALBackbone=AC-MIL, OOD Plug-in Paradigm=DA, OOD Plug-in=CORAL2026.06 | 70.29 | — | 86.92 | 13.15 | 76.76 | |
| AC-MIL + MIXUPBackbone=AC-MIL, OOD Plug-in Paradigm=DA, OOD Plug-in=MIXUP2026.06 | 70.18 | — | 87.76 | 12.11 | 77.26 | |
| AC-MIL + FOILBackbone=AC-MIL, OOD Plug-in Paradigm=EI, OOD Plug-in=FOIL2026.06 | 70.12 | — | 87.9 | 11.91 | 77.47 | |
| AC-MILBackbone=AC-MIL2026.06 | 70.02 | — | 87.22 | 12.6 | 76.76 | |
| AC-MIL + VRExBackbone=AC-MIL, OOD Plug-in Paradigm=IL, OOD Plug-in=VREx2026.06 | 69.69 | — | 87.07 | 13.03 | 76.26 | |
| AC-MIL + EIILBackbone=AC-MIL, OOD Plug-in Paradigm=EI, OOD Plug-in=EIIL2026.06 | 68.24 | — | 87.56 | 12.07 | 76.86 | |
| TimeMILModel Category=Instance Aggregation Method2026.01 | 67.9 | 73.53 | 85.99 | 14.36 | — | |
| TimeMILBackbone=TimeMIL2026.06 | 67.9 | — | 85.99 | 14.36 | 73.53 | |
| TAIL-MILModel Category=Instance Aggregation Method2026.01 | 67.85 | 73.16 | 85.7 | 13.41 | — | |
| TAIL-MILBackbone=TAIL-MIL2026.06 | 67.85 | — | 85.7 | 13.41 | 73.16 | |
| AdMILModel Category=Instance Aggregation Method2026.01 | 67.81 | 71.96 | 83.89 | 15.68 | — | |
| mi-NETModel Category=Instance Aggregation Method2026.01 | 67.69 | 72.76 | 85.6 | 13.2 | — | |
| AtMILModel Category=Instance Aggregation Method2026.01 | 67.63 | 72.52 | 85.5 | 14.41 | — | |
| ReformerModel Category=Sequence Model2026.01 | 67.52 | 72.03 | 85.75 | 14.36 | — | |
| ReformerBackbone=Reformer2026.06 | 67.52 | — | 85.75 | 14.36 | 72.93 | |
| MIL-LETModel Category=Instance Aggregation Method2026.01 | 67.49 | 72.41 | 85.46 | 14.18 | — | |
| MIL-LETBackbone=MIL-LET2026.06 | 67.49 | — | 85.46 | 14.18 | 72.41 | |
| InformerModel Category=Sequence Model2026.01 | 67.08 | 72.46 | 84.38 | 15.55 | — | |
| InformerBackbone=Informer2026.06 | 67.08 | — | 84.38 | 15.55 | 72.46 | |
| TransformerModel Category=Sequence Model2026.01 | 66.68 | 71.89 | 83.94 | 15.8 | — | |
| TransformerBackbone=Transformer2026.06 | 66.68 | — | 83.94 | 15.8 | 71.89 |