Adapter-only detector training needs tensor, optimizer, and criterion proofs
Adapter-only fine-tuning for an object detector needs three independent proofs: the trainable tensor set, optimizer parameter identity, and loss/target isolation. Freezing the base model proves only that base weights should not update; it does not prove the optimizer excludes the…