forked from Pikaliov/fuze_task
2c6a00a4ca
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>
2.9 KiB
2.9 KiB
| 1 | path | size_bytes | sha256 |
|---|---|---|---|
| 2 | vendor_reference\caption_test\CLAUDE.md | 26597 | 13be5910464bfee7683b30fcbce167476880ca9ea2c156131eba45b818c426f7 |
| 3 | vendor_reference\caption_test\README.md | 28721 | e45cccc1793c2368322f02c51b3557b89d73052729eb9e2cf7b227b7eb321b22 |
| 4 | vendor_reference\caption_test\conf\gtauav_balanced_stripnet.gin | 1175 | f72b0b1d0ce004a7ef1c44d19bd27965ed3cc2d6f143b56f9d7bbb43025983c7 |
| 5 | vendor_reference\caption_test\conf\gtauav_baseline_stripnet.gin | 316 | 6466389da1ee97f96bb299da9ecff450621630d0d686d07aee9ce1a06a4c1379 |
| 6 | vendor_reference\caption_test\src\datasets\gtauav_dataset.py | 14802 | f7428b1dc88700bac56a892d138fa7a88ecee25d87612da1907f1225ab5ce09b |
| 7 | vendor_reference\caption_test\src\eval\evaluate.py | 4337 | da0ffed484c293e25b33563397ab5142971593b0b0ac62550ef1152b555b2eb8 |
| 8 | vendor_reference\caption_test\src\models\asymmetric_encoder.py | 25968 | 3a4284370171688f9d542effdec59e3fb94208b820e9d1348ceccabc99f67523 |
| 9 | vendor_reference\caption_test\src\models\residual_fusions.py | 5698 | a31f3e8ab23c91b00286dae00d7333ec370a3a80be8b8d6bd987b985705ae1c9 |
| 10 | vendor_reference\caption_test\src\models\stripnet_encoder.py | 1980 | 0fd1c3ab4d31aeeb1a627feee95eb25dd6ddf8efa48665c420237e4bf0c5f7ac |
| 11 | vendor_reference\caption_test\src\models\stripnet\conv_mona.py | 4265 | ce2666a62958642a5ed08541f295bfa2c99ea81aaf61469032e3daf9c8e5676a |
| 12 | vendor_reference\caption_test\src\models\stripnet\model.py | 9211 | 496df17e7a00128c8018bd07aa4c2b236c930d7d3376a63bb95fbf7b28f918a8 |
| 13 | vendor_reference\caption_test\src\training\train_gtauav.py | 50612 | 33b50a04355669c48e95430e92fd797f39f58564354e52e045f368ad428d3b8f |
| 14 | vendor_reference\depth_edges_annotate_worlduav\CLAUDE.md | 4404 | 3a4818cb1390aca3858f32b7074747079e7c81dcbd53dccb4223cdbbe64e9859 |
| 15 | vendor_reference\depth_edges_annotate_worlduav\README.md | 21324 | be2199f00c4ec72a2f7534b5daa3c8c58daed616c4192a6b81044b8a90398b37 |
| 16 | vendor_reference\depth_edges_annotate_worlduav\in\config_files\hardware.gin | 249 | 0e02f3b24b34ce227d2e442cea70a64d5a84b925fc0cb3d9871c1f39f8bc9a0e |
| 17 | vendor_reference\depth_edges_annotate_worlduav\in\config_files\input.gin | 335 | bde130708ec316be4b26dbb7adf1b2b00a1c2d6ce4382deca4ef264a3311cadd |
| 18 | vendor_reference\depth_edges_annotate_worlduav\in\config_files\models.gin | 540 | eb88e14a13b9a89eef93bec10156a283326924ede566f9549c3ebc1d537269fc |
| 19 | vendor_reference\depth_edges_annotate_worlduav\in\config_files\pipeline.gin | 648 | 399277bf711b23069e874ae5619d70f546ca28875f2ed28a601255f2d4534d93 |
| 20 | vendor_reference\depth_edges_annotate_worlduav\in\config_files\segmentation.gin | 1451 | f2a2e37ba24172d218bb0e43ee7fca9c753876d225ea7473f646c36034844cbe |
| 21 | vendor_reference\depth_edges_annotate_worlduav\scripts\run_gta_uav.py | 3187 | c192a4146cf5d6c34f21154660297d428bf3fa973b5036348351f10995e42e50 |
| 22 | vendor_reference\depth_edges_annotate_worlduav\scripts\seg_classes.py | 1102 | c8461e93d395bbc84bfbb0b22ba6143803df71326df27e84762ab91908d23b0d |