Feature-aware multi-head self-attention hashing for Chinese ancient document image retrieval

Key Points

• Image retrieval accuracy significantly improves with multi-head self-attention mechanisms, aiding historical document access.
• In particular, the hashing technique efficiently reduces data dimensions while maintaining essential features.
• Observational analysis across various ancient Chinese document images reveals effective retrieval strategies.
• This highlights the need for advanced algorithms in digitizing and accessing historical texts.