[HN Gopher] What Inception Net Doesn't See ___________________________________________________________________ What Inception Net Doesn't See Author : Aliabid94 Score : 26 points Date : 2021-02-15 20:01 UTC (1 days ago) (HTM) web link (abidlabs.github.io) (TXT) w3m dump (abidlabs.github.io) | keyle wrote: | SARAH CONNOR? <Sarah Connor does a handstand> | Imnimo wrote: | The ImageNet-A dataset (https://github.com/hendrycks/natural-adv- | examples) contains thousands of hand-curated examples that are | challenging for off-the-shelf classifiers. It's interesting to | look through them and guess why each one's so difficult. | | For examples like the surgical mask, the ImageNet "mask" category | is for masquerade masks and halloween masks, I suspect it doesn't | contain anything similar to a surgical mask. Imagenet categories | are a bit weird that way - they're a pretty arbitrary set of | labels that were selected for use as a benchmark, not for | practical use. It's got 100 different breeds of dogs, because it | was a way to test fine-grained classification. It's got crane | (the bird) and crane (the machine). It's got 'car mirror' but not | 'mirror'. It's got 'yurt' but not 'house'. | | It's great if the categories you care about happen to match the | ones on the list (in both name and type, as seen in the 'mask' | example). But otherwise you'll quickly run into the need to fine- | tune the model on some of your own data to get the categories you | want. | prashp wrote: | This seems like a thinly veiled advertisement for Gradio. This is | an otherwise trivial observation of convolutional neural | networks, given the rapid pace of the field in general | pool1892 wrote: | how is this a new observation in any way? | glsdfgkjsklfj wrote: | I do not think it is supposed to be new. Everyone knows the | flaws but downplay it _by a lot_. (negative proofs doesn 't get | funding and all that...) | | I see this as a very funny way to recall what we always knew. | Like a court jester reminding the king he was always naked. | dwiel wrote: | This analysis is quite the strawman. It's a bit like taking a | demo SQL table and basic select queries off an intro to SQL | tutorial and claiming SQL sucks because the queries are | inefficient and the tables can only store books and author | names but not any other kind of data because that's what the | example was. There is a lot more to SQL than what gets | introduced in the intro to SQL tutorial and there is a lot | more to computer vision nets than grabbing the network | trained on a benchmark dataset and shoving completely | different data at it. | sgt101 wrote: | >there is a lot more to computer vision nets than grabbing | the network trained on a benchmark dataset and shoving | completely different data at it. | | Sure, you are right, but lots of people are wandering about | saying different! ___________________________________________________________________ (page generated 2021-02-16 23:00 UTC)