A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
WEmbSim: A Simple yet Effective Metric for Image Captioning
2020
2020 Digital Image Computing: Techniques and Applications (DICTA)
Preserved Fulltext
Therefore, we believe that WEmbSim sets a new baseline for any complex metric to be justified. ...
Based on our past attempts at developing highly sophisticated learning-based metrics, we have discovered that a simple cosine similarity measure using the Mean of Word Embeddings (MOWE) of captions can ...
Our contributions in this work are as follows: • We propose a simple yet effective unsupervised metric WEmbSim for automatic caption evaluation. • To demonstrate the strong performance of WEmbSim compared ...
doi:10.1109/dicta51227.2020.9363392
fatcat:bdbpf3xwhbcq3df7yvjdkmfp2e
WEmbSim: A Simple yet Effective Metric for Image Captioning
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Therefore, we believe that WEmbSim sets a new baseline for any complex metric to be justified. ...
Based on our past attempts at developing highly sophisticated learning-based metrics, we have discovered that a simple cosine similarity measure using the Mean of Word Embeddings(MOWE) of captions can ...
Our contributions in this work are as follows: • We propose a simple yet effective unsupervised metric WEmbSim for automatic caption evaluation. • To demonstrate the strong performance of WEmbSim compared ...
arXiv:2012.13137v1
fatcat:gw25ymwapnhm5p5dhrl5x76roi
Goal-driven text descriptions for images
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In Chapter 3, we focus on generating the referring expression, a text description for an object in the image so that a receiver can infer which object is being described. ...
In Chapter 4, we introduce a method that encourages discriminability in image caption generation. We show that more discriminative captioning models generate more descriptive captions. ...
With the same goal, [226] proposed a simple yet effective method: reweighing the importance of ground truth captions to encourage the discriminability of generated captions. 48
Models Our model ...
arXiv:2108.12575v1
fatcat:xxphnu354zc7tfl6odertd5kxm
Natural Language Description of Images
[article]
2020
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
MSCOCO is one of the most popular datasets amongst image captioning research community, which contains 123,287 images, each paired with at least 5 captions. ...
To maintain consistency with literature, we use the publicly available split of MSCOCO which provides 5,000 images for testing and validation each. ...
WEmbSim: A Simple yet Effective Metric for Image Captioning The area of automatic image caption evaluation is still undergoing intensive research to address the needs of generating captions which can meet ...
doi:10.26182/nskk-bg13
fatcat:63ous52jfvcenapt4tfomewxw4