CoLoRSMamba: Conditional LoRA-Steered Mamba for Supervised Multimodal Violence Detection

1. 1Combine video and audio modalities using a directional Video to Audio architecture
2. 2Use CLS-guided conditional LoRA to adapt AudioMamba projections
3. 3Implement channel-wise modulation vectors and stabilization gates to selectively focus on relevant audio features
4. 4Evaluate the performance of CoLoRSMamba on supervised multimodal violence detection tasks

This research benefits AI engineers and researchers working on multimodal violence detection, as it provides a novel approach to combining video and audio modalities for improved detection accuracy. The team can apply this architecture to develop more effective violence detection systems.

💡 Conditional LoRA-steered Mamba can effectively combine video and audio modalities for improved violence detection accuracy

💡 CoLoRSMamba: A novel multimodal architecture for violence detection using conditional LoRA-steered Mamba #AI #MultimodalLearning