[HN Gopher] Seeing faces in things: A model and dataset for pare...
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       Seeing faces in things: A model and dataset for pareidolia
        
       Author : sebg
       Score  : 31 points
       Date   : 2024-10-22 10:45 UTC (1 days ago)
        
 (HTM) web link (mhamilton.net)
 (TXT) w3m dump (mhamilton.net)
        
       | aferr wrote:
       | Can someone fine-tune this to find the face of Jesus in things?
        
         | thih9 wrote:
         | They have a method for finding animal doppelgangers, perhaps
         | same approach could work on human faces. There is a demo next
         | to the paragraph about it, quoted below.
         | 
         | > We can even use the deep feature representation of our
         | trained animal and pareidolia detector to compute animal-
         | pareidolia doppelgangers
        
       | Lerc wrote:
       | Is there much in the way of datasets of things that are
       | recognizable but triggering incorrect something-or-other (what is
       | it exactly? Semantic sensations?)
       | 
       | When we as humans see a face in a cookie or something we quite
       | often spend some time gazing at it noting what it is about the
       | the arrangement of features that triggers the pareidolia. I have
       | wondered if that urge to contemplate the similarity difference is
       | an instinctive response to gather more data for future accuracy.
       | 
       | I guess in a similar vein there would be merit in collecting a
       | data set of all of those quirks that generative AI produces to
       | provide a point of comparison. Notably when most image generators
       | produce artifacts it's because the local image generation is
       | accurate but at odds with the global image. So fingers are beside
       | fingers accurately but there are too many, or a swirl near some
       | hair becomes hair but doesn't actually connect to the top of the
       | head.
        
         | bossyTeacher wrote:
         | You are looking at it from your own rationalist point of view.
         | Most humans will apply supernatural, magical, religious or/and
         | spiritual meanings to it. This applies to faces in surfaces as
         | well voices in wind or patterns in noise.
        
         | gwern wrote:
         | > Is there much in the way of datasets of things that are
         | recognizable but triggering incorrect something-or-other (what
         | is it exactly? Semantic sensations?)
         | 
         | There are some datasets which collect 'hard' examples. One I
         | love for the title alone is "When does dough become a bagel?
         | Analyzing the remaining mistakes on ImageNet"
         | https://arxiv.org/abs/2205.04596#google , Vasudevan et al 2022.
         | The errors can be pretty interesting:
         | https://arxiv.org/pdf/2205.04596#page=18 You can often see why
         | a model might make a mistake and that you would too. (Like that
         | first one of a swing - I would think it's some sort of large
         | "tripod" too because I have no idea if I've ever seen a swing
         | like _that_.)
        
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