Name
Abstract | ||
|---|---|---|
In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When completed, the dataset will contain over one and a half million captions describing over 330,000 images. For the training and validation images, five independent human generated captions will be provided. To ensure consistency in evaluation of automatic caption generation algorithms, an evaluation server is used. The evaluation server receives candidate captions and scores them using several popular metrics, including BLEU, METEOR, ROUGE and CIDEr. Instructions for using the evaluation server are provided. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Data collection,World Wide Web,Information retrieval,Computer science,Artificial intelligence,Coco,Machine learning |
DocType | Volume | Citations |
Journal | abs/1504.00325 | 131 |
PageRank | References | Authors |
4.61 | 31 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinlei Chen | 1 | 853 | 38.03 |
| Fang Hao | 2 | 1209 | 63.73 |
| Tsung-Yi Lin | 3 | 2957 | 111.64 |
| Ramakrishna Vedantam | 4 | 518 | 20.31 |
| Saurabh Gupta | 5 | 1431 | 53.13 |
| Piotr Dollár | 6 | 7999 | 307.07 |
| C. Lawrence Zitnick | 7 | 7321 | 332.72 |