argus.py: factor padding_mode through DPT blocks; add depth crop_border kwarg; batched correspond. README: align with shipped 3M cofiber detection head, drop FCOS framing, fix file sizes/param counts, add real IN1k val comparison, document qkv-bias choice. eval JSON: strip personal paths.

README: remove session-narrative paragraph

README: document reflect-pad DPT swap (0.646 -> 0.314 RMSE on 5050-frame flat val)

argus.py: reflect-padded DPT convs, drop post-hoc border crop

add imagenet_classes.json

config: extract class_ids/class_names to imagenet_classes.json

argus.py: correspond() returns dense {matches, scores, grid} dict; lazy-load class names

README: bulletize architecture, drop duplicate DPT paragraph, refresh classification baselines

Add per-model latency to RF100-VL benchmark table

Tighten RF100-VL cross-domain benchmark section

Add RF100-VL cross-domain detection benchmark

update repository