Research map / 3D vision / 3D generation
Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use GeoDTR with LS instead of L2LTR† | Cross-view geo-localization · CVUSA → CVACT | R@1: 47.55% -> 53.16% | Helped |
| Use GeoDTR with LS instead of L2LTR† | Cross-view geo-localization · CVACT → CVUSA | R@1: 33.00% -> 44.07% | Helped |
| Add layout simulation and semantic augmentation (ablation) | GeoDTR · CVUSA → CVACT | R@1: 47.79% -> 53.16% | Helped |
| Add layout simulation and semantic augmentation (ablation) | GeoDTR · CVUSA same-area | R@1: 95.23% -> 95.43% | No clear effect |
| Add layout simulation and semantic augmentation (ablation) | GeoDTR · CVACT → CVUSA | R@1: 29.13% -> 44.07% | Helped |
| Add counterfactual loss (ablation) | GeoDTR with LS · CVUSA → CVACT | R@1: 49.18% -> 53.16% | Helped |
| Add counterfactual loss (ablation) | GeoDTR with LS · CVACT → CVUSA | R@1: 43.61% -> 44.07% | No clear effect |
| Increase geometric layout descriptors from 1 to 8 (ablation) | GeoDTR with CF and LS · CVUSA → CVACT | R@1: 39.93% -> 53.16% | Helped |
| Increase geometric layout descriptors from 1 to 8 (ablation) | GeoDTR with CF and LS · CVACT → CVUSA | R@1: 28.28% -> 44.07% | Helped |
| Reduce latent feature dimension from 4096 to 1024 (ablation) | GeoDTR · CVACT same-area | R@1: 86.21% -> 86.24% | No clear effect |
| Reduce latent feature dimension from 4096 to 1024 (ablation) | GeoDTR · CVACT → CVUSA | R@1: 44.07% -> 42.32% | Hurt |
| Apply LS to L2LTR (ablation) | L2LTR · CVUSA → CVACT | R@1: 47.55% -> 52.58% | Helped |
Closest papers by meaning
- Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination (AAAI 2024 · similarity 0.93)
- Cross-view Geo-localization with Layer-to-Layer Transformer (NeurIPS 2021 · similarity 0.92)
- From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization (AAAI 2025 · similarity 0.92)
- Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization (AAAI 2025 · similarity 0.89)
- Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization (CVPR 2024 · similarity 0.88)
- View From Above: Orthogonal-View aware Cross-view Localization (CVPR 2024 · similarity 0.87)
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