B-1, B-2, B-3, B-4, METEOR, ROUGE, L CIDEr Tables

Sep 2, 2026

This document presents comparative performance metrics for different methods, possibly related to image captioning or natural language generation, as indicated by the evaluation metrics (B-1, B-2, B-3, B-4, METEOR, ROUGE, CIDEr). The tables showcase results for various approaches including a 'Baseline', 'PathCap', and 'Tiles-only' method. Further analysis is presented concerning the impact of different 'Loss' functions, specifically 'MSE only' and 'triplet' loss, on the performance metrics. Additionally, the document investigates the effect of a parameter 'K' across different values (2, 3, 4, 5) on these same metrics. The data suggests that 'PathCap' and optimizing with 'K=3' and 'K=5' yield the highest scores for L CIDEr, indicating potentially superior performance in certain aspects of the evaluated task. These results are crucial for understanding and improving the effectiveness of the described computational models.

LanguageEnglish

CategoryGeneral

FormatPDF

Pages17

Reading Time6 min

AccessFree to download

Performance Metrics

Evaluation Methods

Loss Functions

Parameter K Analysis

FAQs

What are the primary evaluation metrics used in this document?

The primary evaluation metrics include B-1, B-2, B-3, B-4, METEOR, ROUGE, and L CIDEr.

Which method showed the best performance for the L CIDEr metric?

The PathCap method achieved the highest L CIDEr score, especially when K=3. A score of 0.9995 was noted when K=5.

How does the parameter K affect the evaluation metrics?

The parameter K influences the performance across various metrics, with K=3 and K=5 generally showing higher scores for L CIDEr, suggesting an optimal range for this parameter.

Sep 2, 2026

Upload by Maya Linwood