DISCODE: Improving Image Captioning Evaluation Through Score Decoding
Analysis
This research explores a novel method for automatically evaluating image captions. DISCODE aims to enhance the robustness of captioning evaluation by incorporating distribution-awareness in its scoring mechanism.
Key Takeaways
- •DISCODE is a novel approach to improve the evaluation of image captions.
- •The method leverages a distribution-aware scoring mechanism.
- •This potentially leads to more reliable and robust evaluation metrics.
Reference
“DISCODE is a 'Distribution-Aware Score Decoder' for robust automatic evaluation of image captioning.”