<p>Saliency is typically discussed more in object detection or scene understanding than prominence.  There are lots of papers on saliency models.  <a href="https://arxiv.org/abs/1604.03605" rel="nofollow noreferrer">"What do different evaluation metrics tell us about saliency models?"</a> is a good paper on various metrics on saliency models.  It covers the following metrics: </p>

<ol>
<li>Similarity or histogram intersection (SIM)</li>
<li>Pearson's Correlation Coefficient (CC)</li>
<li>Normalized Scanpath Saliency (NSS)</li>
<li>Area Under ROC Curve (AUC)</li>
<li>Information Gain (IG)</li>
<li>Kullback-Leibler divergence (KL)</li>
<li>Earth Mover's Distance (EMD)</li>
</ol>

<p>Some other papers you may find interesting:</p>

<ol>
<li><a href="http://www.cs.umanitoba.ca/~bruce/AIM2009.pdf" rel="nofollow noreferrer">Saliency, attention, and visual search: An information
theoretic approach</a></li>
<li><a href="https://arxiv.org/abs/1704.07402" rel="nofollow noreferrer">Towards Instance Segmentation with Object Priority:
Prominent Object Detection and Recognition</a></li>
</ol>

CC BY-SA 3.0
2018-01-27T22:29:07.270Z
2018-01-27T22:29:07.270Z
Brian O'Donnell
<p>Is there any previous work on computing some sort of prominence score based on the prevalence of features in an image?</p>

<p>For example, let's say I am classifying images based on whether or not they have dogs in them. Is there a way to compute how prominent that feature is?</p>

<machine-learning><computer-vision><reference-request><statistical-ai>
Is there a way of computing a prominence score based on the prevalence of features in an image?
hisairnessag3
# Is there a way of computing a prominence score based on the prevalence of features in an image?

(Asked by: username_0 on 2018-01-27)

Is there any previous work on computing some sort of prominence score based on the prevalence of features in an image?

For example, let's say I am classifying images based on whether or not they have dogs in them. Is there a way to compute how prominent that feature is?

**Tags:** machine-learning, computer-vision, reference-request, statistical-ai


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## 1 answers

### Answer by username_1 on 2018-01-27. Score: 1 | Accepted answer

Saliency is typically discussed more in object detection or scene understanding than prominence. There are lots of papers on saliency models. ["What do different evaluation metrics tell us about saliency models?"](https://arxiv.org/abs/1604.03605) is a good paper on various metrics on saliency models. It covers the following metrics:

1. Similarity or histogram intersection (SIM)
2. Pearson's Correlation Coefficient (CC)
3. Normalized Scanpath Saliency (NSS)
4. Area Under ROC Curve (AUC)
5. Information Gain (IG)
6. Kullback-Leibler divergence (KL)
7. Earth Mover's Distance (EMD)

Some other papers you may find interesting:

1. [Saliency, attention, and visual search: An information
   theoretic approach](http://www.cs.umanitoba.ca/~bruce/AIM2009.pdf)
2. [Towards Instance Segmentation with Object Priority:
   Prominent Object Detection and Recognition](https://arxiv.org/abs/1704.07402)


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