Sequence-level Visual Place Recognition on MSLS pos=25m (val)
93.7Recall@1UniPR-3D
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| UniPR-3DBackbone=VGGT, Desc. size=171522025.12 | 93.7 | 95.7 | 96.9 | |
| CaseVPRBackbone=DinoV2 Vit-B, Desc. size=107522025.12 | 91.2 | 94.1 | 95 | |
| SeqVLADBackbone=CCT384, Desc. size=245762025.12 | 89.9 | 92.4 | 94.1 | |
| sVPRBackbone=ResNet-50, Desc. size=245762025.12 | 87.6 | 90.4 | 92.1 | |
| JISTBackbone=ResNet-18, Desc. size=5122025.12 | 86.6 | 89.4 | 91.5 | |
| SeqPool + CATBackbone=CCT384, Desc. size=384·SL2025.12 | 77.8 | 85 | 88.1 | |
| GeM + CATBackbone=ResNet-18, Desc. size=12802025.12 | 76.8 | 84.4 | 89.8 | |
| SeqPool + CATBackbone=CCT224, Desc. size=384·SL2025.12 | 74.2 | 83.5 | 87.9 | |
| SeqNetBackbone=ResNet-50, Desc. size=40962025.12 | 71.1 | 80.2 | 85 | |
| NetVLAD + FCBackbone=ResNet-50, Desc. size=40962025.12 | 71 | 80.5 | 84.8 | |
| GeM + CATBackbone=ResNet-50, Desc. size=51202025.12 | 68.6 | 78.9 | 84.7 | |
| NetVLAD + FCBackbone=ResNet-18, Desc. size=40962025.12 | 68.5 | 79.1 | 84.6 | |
| SeqNetBackbone=ResNet-18, Desc. size=40962025.12 | 68 | 77.6 | 82.5 | |
| SeqMatchNetBackbone=VGG-16, Desc. size=40962025.12 | 65.5 | 77.5 | 80.3 | |
| SeqSLAMBackbone=VGG-16, Desc. size=40962025.12 | 45.9 | 58.2 | 70.4 | |
| Delta DescriptorsBackbone=VGG-16, Desc. size=40962025.12 | 43 | 58.4 | 68.6 |