Visual Question Answering

Coming Soon

This example is planned for a future release. Check back for updates on Visual QA implementations.

Overview

This example will demonstrate:

• Visual Question Answering (VQA) systems
• Multi-modal fusion techniques
• Attention mechanisms for vision-language
• Answer generation from image context

Planned Features

• VQA dataset loading and preprocessing
• Vision encoder integration
• Cross-attention mechanisms
• Answer classification and generation

Related Documentation

• CLIP Models
• Image Captioning
• Cross-Modal Retrieval

References

• Antol et al., "VQA: Visual Question Answering" (2015)
• Anderson et al., "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" (2018)