A test-time trained 'MIV-head' turns few-shot classification into a series of multi-instance verification tasks and reaches accuracy competitive with adapter-based fine-tuning on frozen backbones.
Strong baselines for parameter-efficient few-shot fine-tuning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
A test-time trained 'MIV-head' turns few-shot classification into a series of multi-instance verification tasks and reaches accuracy competitive with adapter-based fine-tuning on frozen backbones.