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| license: cc-by-4.0 | |
| pretty_name: HyperKD-RS | |
| tags: | |
| - remote-sensing | |
| - segmentation | |
| - knowledge-distillation | |
| - time-series | |
| # HyperKD-RS: hypergraphical knowledge-distillation targets for remote sensing | |
| Teacher harvest for distilling a tiny promptable segmenter (PicoSAM3) along | |
| **exact** hypergraph edges, plus the multispectral series the neural codec | |
| ("Planet-JEPA") trains on. Built for the OpenCV AI Competition 2026 entry | |
| *Places Not Pixels* (Team Picasso). | |
| Unlike HyperKD (MobileSAM2), which infers hyperedges from embedding | |
| distances, the hyperedges here are exact: | |
| - **temporal** — Hungarian identity tracks across up to 41 annual passes | |
| (1985–2025); each track collapsed into a per-pixel majority-vote | |
| **consensus mask** that serves as the training target, | |
| - **granularity** — all three SAM scale masks (s0 subpart / s1 part / | |
| s2 whole) per prompt, QC-gated per scale, plus laminar **containment | |
| parents** between chosen-scale masks. | |
| ## Source | |
| Landsat 4/5/7/8/9 (Microsoft Planetary Computer STAC), 4.8 km windows at | |
| 30 m, best annual pass per spot, SLC-off striping screened out (≤5% nodata). | |
| Teacher: SAM 2.1 hiera-base-plus (int8), grid-prompted at 8×8 + half-stride | |
| densify — the production tokenizer of the entry. | |
| ## Layout | |
| One shard per AOI: `shards/shard_<tag>.npz` | |
| | array | shape | meaning | | |
| |---|---|---| | |
| | `images` | (S,256,256,3) u8 | display RGB per pass | | |
| | `multispec` | (S,160,160,4) f16 | raw reflectance r,g,b,nir08 | | |
| | `dates`, `platforms` | (S,) str | exact acquisition date, platform | | |
| | `masks` | (M,256,256) u8 | all QC-passing scale masks + consensus masks | | |
| | `samples` | (N,11) f32 | one row per accepted prompt | | |
| `samples` columns: `scene, cx, cy, s0, s1, s2, chosen, track, parent, target, | |
| is_consensus` — `s0..s2` index into `masks` (−1 = failed that scale's QC), | |
| `chosen` is the production pick, `parent` the laminar containment parent | |
| within the pass (−1 = top-level), `target` the distillation target | |
| (track consensus where the track has ≥2 observations), `cx,cy` in the | |
| 800×800 prompt frame. | |
| Labels are **never baked into geometry**: concept annotations (SAM 3.1, | |
| calibrated per concept via the taxonomy's `visual` prompts and thresholds) | |
| ship separately as INFERRED facts. | |
| ## Follow along | |
| The complete pipeline — fetchers, tri-scale harvester, SAM 3.1 labeller, | |
| PicoSAM3 distillation harness, taxonomy, AOI manifest, and the QC audit | |
| trail — ships in [`harness/`](./tree/main/harness) (also bundled as | |
| [`harness.zip`](./blob/main/harness.zip)); run order is in its README. | |
| ## AOIs | |
| 32 spots across 12 domains (farmland, grazing, aquaculture, coastal, fire, | |
| flood, protected, water, urban/infrastructure, mining, forestry, nuisance) — | |
| **complete: 32 annual shards (1,217 scenes, 1985–2025) + 6 event shards | |
| (`_ev`, 73 monthly passes inside documented fire/flood windows), every shard | |
| with a matching `labels/labels_<tag>.npz`** (SAM 3.1 INFERRED concepts + | |
| per-scene cloud masks). | |