Scene Graph Generation on Open Images V6 (test)
56.38wmAPrelRLIPv2-ParSeDA
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| RLIPv2-ParSeDABackbone=Swin-L, Extra=(iii) VG+COCO+O3652023.08 | 56.38 | 64.72 | 72.49 | 50.7 | 57.34 | — | — | |
| RLIPv2-ParSeDABackbone=Swin-T, Extra=(iii) VG+COCO+O3652023.08 | 52.7 | 59.61 | 68.81 | 48.01 | 54.05 | — | — | |
| RLIPv2-ParSeDABackbone=ResNet-50, Extra=(iii) VG+COCO+O3652023.08 | 49.54 | 51.31 | 65.99 | 45.71 | 51.3 | — | — | |
| RLIPv2-ParSeDABackbone=ResNet-50, Extra=(ii) VG+COCO2023.08 | 49.14 | 52.07 | 64.53 | 46.14 | 51.01 | — | — | |
| RLIPv2-ParSeDABackbone=ResNet-50, Extra=(i) VG2023.08 | 47.65 | 50.42 | 63.35 | 45.23 | 49.82 | — | — | |
| Dual-SGG2026.07 | 46 | 48 | — | 46.5 | — | 52.9 | 79.6 | |
| RLIPv2-ParSeDABackbone=ResNet-50, Pre-training=COCO object detection pretrained2023.08 | 45.71 | 45.59 | 61.15 | 43.73 | 48.01 | — | — | |
| Salience-SGGarchitecture=one-stage2026.01 | 45.6 | 48 | — | 44.9 | — | 51.8 | 78.1 | |
| Salience-SGGModel type=one-stage2026.01 | 45.6 | 48 | — | 44.9 | — | 51.8 | 78.1 | |
| Salience-SGG2026.07 | 45.6 | 48 | — | 44.9 | — | 51.8 | 78.1 | |
| RLIPv2-ParSeDBackbone=ResNet-50, Pre-training=ImageNet pretrained, config_variant=improved2023.08 | 44.73 | 44.88 | 60.2 | 43.36 | 47.28 | — | — | |
| RLIPv2-ParSeDBackbone=ResNet-50, Pre-training=ImageNet pretrained, config_variant=base2023.08 | 43.3 | 44.58 | 58.04 | 43.12 | 46.18 | — | — | |
| Hydra-SGGarchitecture=one-stage2026.01 | 42.8 | — | — | 44.3 | — | 50.1 | 76.1 | |
| Hydra-SGGModel type=one-stage2026.01 | 42.8 | — | — | 44.3 | — | 50.1 | 76.1 | |
| Hydra-SGG2026.07 | 42.8 | — | — | 44.3 | — | 50.1 | 76.1 | |
| EGTR2024.04 | 42 | — | — | 41.9 | — | 48.6 | 75 | |
| EGTRarchitecture=one-stage2026.01 | 42 | — | — | 41.9 | — | 48.6 | 75 | |
| EGTRModel type=one-stage2026.01 | 42 | — | — | 41.9 | — | 48.6 | 75 | |
| SSR-CNN2024.04 | 41.5 | — | — | 43.6 | — | 49.4 | 76.7 | |
| SSR-CNNarchitecture=one-stage2026.01 | 41.5 | 42.8 | — | 43.6 | — | 49.4 | 76.7 | |
| SSR-CNNModel type=one-stage2026.01 | 41.5 | 42.8 | — | 43.6 | — | 49.4 | 76.7 | |
| SSR-CNN2026.07 | 41.5 | 42.8 | — | 43.6 | — | 49.4 | 76.7 | |
| Structured Sparse R-CNN2021.06 | 41.47 | 42.84 | 76.66 | 43.64 | 49.38 | — | — | |
| Structured Sparse R-CNNLogit Adjustment=true2021.06 | 41.14 | 50.73 | 75.7 | 43.24 | 48.89 | — | — | |
| DRMarchitecture=two-stage2026.01 | 40.5 | — | — | 41.4 | — | 47.9 | 75.9 | |
| DRMModel type=two-stage2026.01 | 40.5 | — | — | 41.4 | — | 47.9 | 75.9 | |
| DRM2026.07 | 40.5 | — | — | 41.4 | — | 47.9 | 75.9 | |
| RelTRarchitecture=one-stage2026.01 | 37.2 | — | — | 37.5 | — | 43 | 71.7 | |
| RelTRModel type=one-stage2026.01 | 37.2 | — | — | 37.5 | — | 43 | 71.7 | |
| RelTR2026.07 | 37.2 | — | — | 37.5 | — | 43 | 71.7 | |
| SGTR2024.04 | 37 | — | — | 38.7 | — | 42.3 | 59.9 | |
| SGTRarchitecture=one-stage2026.01 | 37 | 42.6 | — | 38.7 | — | 42.3 | 59.9 | |
| SGTRModel type=one-stage2026.01 | 37 | 42.6 | — | 38.7 | — | 42.3 | 59.9 | |
| SGTR2026.07 | 37 | 42.6 | — | 38.7 | — | 42.3 | 59.9 | |
| SGTRBackbone=ResNet-1012023.08 | 36.98 | 42.61 | 59.91 | 38.73 | 42.28 | — | — | |
| PE-Net2023.03 | 36.6 | — | 76.3 | 37.4 | 44.9 | — | — | |
| PE-Netarchitecture=two-stage2026.01 | 36.6 | — | — | 37.4 | — | 44.9 | 76.5 | |
| PE-NetModel type=two-stage2026.01 | 36.6 | — | — | 37.4 | — | 44.9 | 76.5 | |
| PE-Net2026.07 | 36.6 | — | — | 37.4 | — | 44.9 | 76.5 | |
| Mg-RMPNarchitecture=one-stage2026.01 | 35.5 | 45.5 | — | 36.4 | — | 43.6 | 74.2 | |
| Mg-RMPNModel type=one-stage2026.01 | 35.5 | 45.5 | — | 36.4 | — | 43.6 | 74.2 | |
| Mg-RMPN2026.07 | 35.5 | 45.5 | — | 36.4 | — | 43.6 | 77.8 | |
| RU-Net2023.03 | 35.4 | — | 76.9 | 34.9 | 43.5 | — | — | |
| RU-Netgraph constraints=true, bi-level sampling=false2023.04 | 35.4 | — | 76.9 | 34.9 | 43.5 | — | — | |
| RU-Netarchitecture=two-stage2026.01 | 35.4 | — | — | 34.9 | — | 43.5 | 76.9 | |
| RU-NetModel type=two-stage2026.01 | 35.4 | — | — | 34.9 | — | 43.5 | 76.9 | |
| RU-Net2026.07 | 35.4 | — | — | 34.9 | — | 43.5 | 76.9 | |
| HL-Netgraph constraints=true, bi-level sampling=false2023.04 | 35.1 | — | 76.5 | 34.7 | 43.2 | — | — | |
| SQUATgraph constraints=true, bi-level sampling=false2023.04 | 34.9 | — | 75.8 | 35.9 | 43.5 | — | — | |
| SQUAT2026.07 | 34.9 | — | — | 35.9 | — | 43.5 | 75.8 | |
| VCTree2023.03 | 34.2 | — | 74.1 | 33.1 | 40.2 | — | — | |
| VCTreegraph constraints=true, bi-level sampling=false2023.04 | 34.2 | — | 76.1 | 33.1 | 42.1 | — | — | |
| VCTree2024.04 | 34.2 | — | — | 33.1 | — | 40.2 | 74.1 | |
| RelTR2024.04 | 34.2 | — | — | 37.5 | — | 43 | 71.7 | |
| RelTRBackbone=ResNet-502023.08 | 34.17 | — | 64.47 | 37.44 | 41.54 | — | — | |
| VCTree2021.06 | 34.16 | 33.91 | 74.08 | 33.11 | 40.21 | — | — | |
| VCTreeBackbone=ResNeXt-101 FPN2023.08 | 34.16 | 33.91 | 74.08 | 33.11 | 40.21 | — | — | |
| BGNN2021.06 | 33.51 | 40.45 | 74.98 | 34.15 | 42.06 | — | — | |
| G-RCNNBackbone=ResNeXt-101 FPN2023.08 | 33.51 | 34.04 | 74.51 | 34.21 | 41.84 | — | — | |
| BGNN2023.03 | 33.5 | — | 75 | 34.2 | 42.1 | — | — | |
| BGNNgraph constraints=true, bi-level sampling=true2023.04 | 33.5 | — | 75 | 34.2 | 42.1 | — | — | |
| BGNN2024.04 | 33.5 | — | — | 34.2 | — | 42.1 | 75 | |
| BGNNarchitecture=two-stage2026.01 | 33.5 | 40.5 | — | 34.2 | — | 42.1 | 75 | |
| BGNNModel type=two-stage2026.01 | 33.5 | 40.5 | — | 34.2 | — | 42.1 | 75 | |
| BGNN2026.07 | 33.5 | 40.5 | — | 34.2 | — | 42.1 | 75 | |
| GR-CNN2023.03 | 33.2 | — | 74.5 | 34.2 | 41.8 | — | — | |
| G-RCNN2021.06 | 33.15 | 34.04 | 74.51 | 34.21 | 41.84 | — | — | |
| GPS-Net2023.03 | 32.9 | — | 74.8 | 34 | 41.7 | — | — | |
| GPS-Netgraph constraints=true, bi-level sampling=false2023.04 | 32.9 | — | 74.8 | 34 | 41.7 | — | — | |
| GPS-Net2024.04 | 32.9 | — | — | 34 | — | 41.7 | 74.8 | |
| GPS-Netarchitecture=two-stage2026.01 | 32.9 | 35.2 | — | 34 | — | 41.7 | 74.8 | |
| GPS-NetModel type=two-stage2026.01 | 32.9 | 35.2 | — | 34 | — | 41.7 | 74.8 | |
| GPS-Net2021.06 | 32.85 | 35.26 | 74.81 | 33.98 | 41.69 | — | — | |
| GPS-NetBackbone=ResNeXt-101 FPN2023.08 | 32.85 | 35.26 | 74.81 | 33.98 | 41.69 | — | — | |
| GPS-Netgraph constraints=true, bi-level sampling=true2023.04 | 32.8 | — | 74.7 | 33.9 | 41.6 | — | — | |
| RelDNgraph constraints=true, bi-level sampling=false2023.04 | 32.2 | — | 73.1 | 33.4 | 40.9 | — | — | |
| RelDN2021.06 | 32.16 | 33.98 | 73.08 | 33.39 | 40.84 | — | — | |
| BGNNBackbone=ResNet-1012023.08 | 31.15 | 39.41 | 74.93 | 31.37 | 40 | — | — | |
| UnbiasedBackbone=ResNeXt-101 FPN2023.08 | 30.74 | 35.47 | 69.3 | 32.8 | 39.27 | — | — | |
| VCTree+TDEgraph constraints=true, bi-level sampling=false2023.04 | 30.7 | — | 69.3 | 32.8 | 39.3 | — | — | |
| MOTIFS2021.06 | 29.91 | 32.68 | 71.63 | 31.59 | 38.93 | — | — | |
| MotifsBackbone=ResNeXt-101 FPN2023.08 | 29.91 | 32.68 | 71.63 | 31.59 | 38.93 | — | — | |
| Motifs2023.03 | 29.9 | — | 71.6 | 31.6 | 38.9 | — | — | |
| Motifsgraph constraints=true, bi-level sampling=false2023.04 | 29.9 | — | 71.6 | 31.6 | 38.9 | — | — | |
| Motifs2024.04 | 29.9 | — | — | 31.6 | — | 38.9 | 71.6 | |
| RelDNBackbone=ResNet-1012023.08 | 29.87 | 36.8 | 72.75 | 30.42 | 38.67 | — | — |