Cross-Modal Learning
Cross-Modal Learning is a solution for understanding and processing relationships between different types of data modalities.
Key Capabilities Used
Features
- Multi-modal fusion
- Cross-modal alignment
- Joint representation learning
- Modal translation
- Multi-modal retrieval
Use Cases
- Visual question answering
- Image-text matching
- Audio-visual synchronization
- Multi-modal search
- Cross-modal translation
Technologies
- Multi-modal transformers
- Cross-attention mechanisms
- Embedding alignment
- Fusion networks
- Contrastive learning