danielbogdoll/iad-weights-m2f-train

UNO M2 fine-tuning (Mask2Former Swin-L, native route)

UNO fine-tuned from the released CS&MV Swin-L Mask2Former (run uno_m2_ft_ade_bs4_20260918).

5 files, 9.65 GiB. Paths are relative to the root of the research code; index.json lists each file's size and sha256. Each folder keeps the run manifest (command, commit, configuration) and/or the Detectron2 config.yaml of its training.

Folder	Checkpoints	Run	Command (first attempt)
output/M2F/M2F_SWIN-L_uno_m2_ft_aca7aec_bs4	4		see config.yaml

Restore into a checkout of the research code: uv run python scripts/ops/backup_weights.py pull --only m2f-train.