Multimodal interpretable image recognition network via language-guided global-local collaboratively alignment

Key Points

• Improved accuracy in image recognition is achieved through language-guided alignment, enhancing interpretability.
• The proposed intelligent system leverages global-local collaborative alignment to process images and language effectively.
• Assessment involved a multimodal approach, integrating both visual and linguistic inputs to optimize recognition outcomes.
• This highlights the potential for further development of interpretable AI systems, enhancing understanding in image analysis.