DVLA-RL++: Dual-Level Vision-Language Alignment with Reinforcement Learning Gating for Few-Shot Learning
DVLA-RL++ improves few-shot learning by extending DVLA-RL with two main additions: Complementary Semantic Purification (CSP) and Counterfactual Reinforcement Learning Gating (CRG). CSP separates intrinsic object features from incidental context to purify support evidence. CRG learns optimal semantic fusion strengths using a reward that balances recognition performance and nuisance exposure. This results in state-of-the-art accuracy gains over DVLA-RL.