pikaliov
5da791801c
Update docs: target-size 512, dataset verification results
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- UAV-VisLoc processed at 512x512 (for segmentation/depth/normals)
- Dataset verified: 6744 drone, 74807 crops, median match 25.9m
- Known issue: 6 drones in route 06 outside satellite coverage
- Resize to model input size (224/256) in dataloader
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com >
2026-04-18 02:41:31 +03:00
pikaliov
abb3337f8d
Rewrite: GatedFusion architecture + UAV-GeoLoc dataset
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Architecture v2:
- Query branch: drone + text -> GatedFusion -> proj -> query_emb
- Gallery branch: satellite -> proj -> gallery_emb
- Single InfoNCE loss (asymmetric 0.6/0.4)
- GatedFusion: learnable gated addition (sigma(alpha)*img + (1-sigma(alpha))*text)
- Baseline mode: gate=1.0 (text ignored)
Dataset:
- UAV-GeoLoc loader with template captions from path metadata
- 27 terrain types with predefined features
- Random positive crop sampling per epoch
Configs: balanced (gate=0.7), baseline (no text), text_heavy (gate=0.3)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com >
2026-04-17 17:13:00 +03:00
2ce4017ebd
Initial commit: caption quality test on UAV-VisLoc
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Self-contained experimental track validating generated text captions
via retrieval R@1 lift on UAV-VisLoc.
Architecture: GeoRSCLIP ViT-B/32 dual encoder, 512-dim shared space.
Loss: 4-term InfoNCE (img-img + sat-cap + drone-cap + cap-cap)
with cosine temperature decay, PALW-like curriculum.
Metric: delta R@1 (with text - without text) >= +3% => PASS.
Gin-configured (balanced / baseline_no_text / text_heavy variants).
Follows NADEZHDA code style.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-04-17 00:04:46 +03:00
