DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
DCVD proposes a unified framework for joint vulnerability detection and statement-level localization by extracting structural and semantic features in parallel. It fuses these features using contrastive alignment and bidirectional cross-attention, while employing separate supervision signals for function-level detection and statement-level localization. This approach outperforms existing methods on both granularities.