<p>It's called Saliency Detection.<br>
<a href="https://arxiv.org/pdf/1609.02132.pdf" rel="nofollow noreferrer">Ubernet</a> supports saliency (among other features).</p>
A keyword for an "interesting point" in an image?
<p>Actually I am searching for today's state of the art neural network model for detecting "an interesting point" in an image but I lacks the proper keyword for it.</p>

<p>For example, if an image is a portrait that point might be person's face. If it is an image of one flower in a vest, that point would be the flower's petals. It is the point that would catch the viewer's eye first. I want to know are there any convolutional neural network model that takes an input image and return a point like this?</p>

<p>For detecting one answer from an image it would be "classification", for detecting pixels area it would be "semantic segmentation". But for one coordinate from an image, I am not sure.</p>

<p>I thought by now someone would have already invented or even trained a network for tasks like this. Thank you.</p>