forked from Pikaliov/fuze_task
Multimodal fusion research on StripNet+GTA-UAV proxy: - 3 independent fusion tracks: condition-aware (A), token/bottleneck (B), role-aware (C) - Shared interfaces, protocol, dataset audit, baseline benchmarks - Canonical version-chain references to vault (SPEC, ANALYSIS, TRIAGE) - Personalized task plans and decision tables for each researcher - 3 generated DOCX task assignment files with milestones and DoD checklist - Full modality dropout diagnostics and missing-modality robustness requirements - Data contract, benchmark registry, experiment tracking infrastructure Operational documents: - docs/00_project/: MERIDIAN context, protocol, repository reuse guide, experiment specification - docs/01_tasks/: Master assignment + 3 individual researcher tracks + joint integration - docs/02_references/: Core literature, version-chain bases, code maps - docs/03_codebase_guides/: Existing code snapshots from vault - scripts/: gen_task_plans.js (DOCX generation), placeholder infrastructure - vendor_reference/: Snapshots of caption_test, depth_edges_annotate, existing SOFIA/SegModel code - reports/, results/, experiments/: Shared output structure for all 3 researchers 3 DOCX files generated from gen_task_plans.js (Times New Roman 14pt, GOST format): - План_заданий_Павленко_БВ.docx (Condition-Aware track, fusion API owner) - План_заданий_Близно_МВ.docx (Token/Bottleneck track, benchmark owner) - План_заданий_Мороз_ЕС.docx (Role-Aware track, data contract owner) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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| 1 | path | size_bytes | sha256 |
|---|---|---|---|
| 2 | docs\02_references\00_READING_MAP.md | 13130 | 1b11a9a899750e232413d95a500ac5e103e0f04c0aa42a10f2a6db3c015549b9 |
| 3 | docs\02_references\01_required\CHMv2 vs Depth Anything V3 для CVGL.md | 4341 | 2ffd52b6ca75fbbb5465f5f672efa55d537b1fa5d94b2fc05be5832f85e45a8d |
| 4 | docs\02_references\01_required\PROTOCOL_text_encoder_benchmark_StripNet_GTA_UAV.md | 48077 | e4763c53e5b29085511383420ea8abcb2d8c5005be67db8522a84f8bfc844f8d |
| 5 | docs\02_references\01_required\Методология_автоматического_аннотирования_World_UAV_v5.md | 39687 | ae4bed052d0ebf4aa167b0ab47021c5909c69ca8bb7f1b4f990590bb8116d515 |
| 6 | docs\02_references\01_required\обзор_моделей_depth_normals_segmentation.md | 29895 | 21acb09c9755967d7312a631042137fad0b01798119509a33c908afc5958ad03 |
| 7 | docs\02_references\01_required\профилирование_VRAM_pipeline_256.md | 8537 | 293a836426883e1b575f60d32415420c55cf39dca8baf7e7799b6ddd9b7c67c4 |
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| 9 | docs\02_references\02_fusion_core\ANALYSIS_FiLM_alternatives_student_only_v4.md | 4510 | 08fdc4b4afafec5be77f4eba6f99f6dda8f531759d3308f0a183b228e7fb9013 |
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| 13 | docs\02_references\02_fusion_core\DELTA_E1_fusion_taxonomy_audit_v4.md | 6220 | 9bf3354f188974f661db8b156ca727cce1ee379dc57b384993df9c38bdc604ce |
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| 34 | docs\02_references\02_fusion_core\_version_chain\HYP_fusion_variants.md | 42416 | 0260c520335410e5b33b73463c2826db3bf4a1268d9b5624be71fa8b529b5ff5 |
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| 83 | docs\02_references\06_paper_analyses\P50_2026_MMGeo_deep_dive_for_MERIDIAN.md | 8699 | d08809943d528500fc3c4769530934c5f2c042408359b4e911dc981d7be3849a |