Video Retrieval on FIVR-200K
0.921DSVRFine-grained att. student-S
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Fine-grained att. student-SMethod Category=Fine-grained2021.06 | 0.921 | 0.875 | 0.741 | — | |
| DnS 30%Method Category=Re-ranking2021.06 | 0.913 | 0.868 | 0.733 | — | |
| Fine-grained bin. student-SMethod Category=Fine-grained2021.06 | 0.909 | 0.863 | 0.729 | — | |
| DnS 30%Method Category=Re-ranking, Feature extraction source=Implemented with same features as ours2021.06 | 0.9 | 0.854 | 0.72 | — | |
| ViSiLMethod Category=Fine-grained2021.06 | 0.899 | 0.854 | 0.723 | — | |
| TNIPApproach level=frame-level, Dim.=1,0402023.03 | 0.896 | 0.833 | 0.674 | — | |
| ViSiL_vApproach level=frame-level, Dim.=3,8402023.03 | 0.892 | 0.841 | 0.702 | — | |
| TCA_fMethod Category=Fine-grained2021.06 | 0.877 | 0.83 | 0.703 | — | |
| TCA_fApproach level=frame-level, Dim.=1,0242023.03 | 0.877 | 0.83 | 0.703 | — | |
| DnS 5%Method Category=Re-ranking2021.06 | 0.874 | 0.829 | 0.699 | — | |
| DnS 5%Method Category=Re-ranking, Feature extraction source=Implemented with same features as ours2021.06 | 0.862 | 0.817 | 0.687 | — | |
| TNMethod Category=Fine-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.844 | 0.804 | 0.66 | — | |
| ViSiL_fApproach level=frame-level, Dim.=3,8402023.03 | 0.843 | 0.797 | 0.66 | — | |
| ViSiL_symApproach level=frame-level, Dim.=3,8402023.03 | 0.833 | 0.792 | 0.654 | — | |
| DPMethod Category=Fine-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.827 | 0.783 | 0.642 | — | |
| DPApproach level=frame-level, Dim.=-2023.03 | 0.775 | 0.74 | 0.632 | — | |
| R-UTS-FRPMethod Category=Fine-grained2021.06 | 0.769 | 0.724 | 0.611 | — | |
| TCA_symApproach level=frame-level, Dim.=1,0242023.03 | 0.728 | 0.698 | 0.592 | — | |
| TNApproach level=frame-level, Dim.=-2023.03 | 0.724 | 0.699 | 0.589 | — | |
| VVS_3840Approach level=video-level, Dim.=3,8402023.03 | 0.711 | 0.689 | 0.59 | — | |
| LBOWMethod Category=Coarse-grained2021.06 | 0.7 | 0.666 | 0.566 | — | |
| BoWMethod Category=Coarse-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.699 | 0.674 | 0.581 | — | |
| LAMV + QEMethod Category=Re-ranking, Query Expansion (QE)=true, Feature extraction source=Implemented with same features as ours2021.06 | 0.659 | 0.629 | 0.52 | — | |
| VVS_1024Approach level=video-level, Dim.=1,0242023.03 | 0.645 | 0.627 | 0.536 | — | |
| A-DMLMethod Category=Fine-grained2021.06 | 0.627 | — | — | — | |
| LAMVMethod Category=Fine-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.619 | 0.587 | 0.479 | — | |
| VVS_512Approach level=video-level, Dim.=5122023.03 | 0.608 | 0.59 | 0.505 | — | |
| VVS_500Approach level=video-level, Dim.=5002023.03 | 0.606 | 0.588 | 0.502 | — | |
| TMK + QEMethod Category=Re-ranking, Query Expansion (QE)=true, Feature extraction source=Implemented with same features as ours2021.06 | 0.58 | 0.564 | 0.48 | — | |
| Coarse-grained student-ScMethod Category=Coarse-grained2021.06 | 0.574 | 0.558 | 0.476 | — | |
| TCAMethod Category=Coarse-grained2021.06 | 0.57 | 0.553 | 0.473 | — | |
| TCA_cApproach level=video-level, Dim.=1,0242023.03 | 0.57 | 0.553 | 0.473 | — | |
| MFHMethod Category=Coarse-grained2021.06 | 0.525 | 0.507 | 0.424 | — | |
| TMKMethod Category=Fine-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.524 | 0.507 | 0.425 | — | |
| R-UTS-GVMethod Category=Coarse-grained2021.06 | 0.509 | 0.498 | 0.432 | — | |
| DMLMethod Category=Coarse-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.503 | 0.487 | 0.41 | — | |
| LAMVMethod Category=Fine-grained2021.06 | 0.496 | 0.466 | 0.371 | — | |
| ITQMethod Category=Coarse-grained, Feature extraction source=Implemented with same features as ours2021.06 | 0.491 | 0.472 | 0.402 | — | |
| LAMVApproach level=video-level, Dim.=65,5362023.03 | 0.489 | 0.459 | 0.364 | — | |
| VRAGApproach level=video-level, Dim.=4,0962023.03 | 0.484 | 0.47 | 0.399 | — | |
| TMKApproach level=video-level, Dim.=65,5362023.03 | 0.417 | 0.394 | 0.319 | — | |
| DMLMethod Category=Coarse-grained2021.06 | 0.411 | 0.392 | 0.321 | — | |
| DMLApproach level=video-level, Dim.=5002023.03 | 0.398 | 0.378 | 0.309 | — | |
| CSQMethod Category=Coarse-grained2021.06 | 0.267 | 0.252 | 0.219 | — | |
| HCApproach level=video-level, Dim.=-2023.03 | 0.265 | 0.247 | 0.193 | — | |
| DMLLab.=✓, Trainset=VCDB (C+D)2023.04 | — | — | — | 52.8 | |
| DMLLab.=✓, Trainset=VCDB (C+D)2023.04 | — | — | — | 51.4 | |
| DnSLab.=✓, Trainset=DnS-100K2023.04 | — | — | — | 92.1 | |
| DnSLab.=✓, Trainset=DnS-100K2023.04 | — | — | — | 87.5 | |
| LAMVLab.=X, Trainset=YFCC100M2023.04 | — | — | — | 61.9 | |
| LAMVLab.=X, Trainset=YFCC100M2023.04 | — | — | — | 58.7 | |
| S2VSLab.=X, Trainset=VCDB (D)2023.04 | — | — | — | 92.7 | |
| S2VSLab.=X, Trainset=DnS-100K2023.04 | — | — | — | 92.5 | |
| S2VSLab.=X, Trainset=VCDB (D)2023.04 | — | — | — | 87.9 | |
| S2VSLab.=X, Trainset=DnS-100K2023.04 | — | — | — | 87.8 | |
| TCAfLab.=✓, Trainset=VCDB (C+D)2023.04 | — | — | — | 87.7 | |
| TCAfLab.=✓, Trainset=VCDB (C+D)2023.04 | — | — | — | 83 | |
| ViSiLLab.=✓, Trainset=VCDB (C+D)2023.04 | — | — | — | 85.4 | |
| ViSiLLab.=✓, Trainset=VCDB (C+D)2023.04 | — | — | — | 72.3 | |
| ViSiLfLab.=X2023.04 | — | — | — | 89 | |
| ViSiLfLab.=X2023.04 | — | — | — | 84.8 | |
| VRLfLab.=X, Trainset=internal2023.04 | — | — | — | 90 | |
| VRLfLab.=X, Trainset=internal2023.04 | — | — | — | 85.8 |