When does dough become a bagel? Analyzing the remaining mistakes on ImageNet — mentioned by gwern

Wed, 23 Oct 2024 21:41:11 GMT

> 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…

Paper and discussion history. A mention is not an endorsement.

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet — mentioned by Datenstrom

Tue, 17 May 2022 14:03:11 GMT

Link to the actual paper [1] for anyone who wants to skip the blog like me. Its a good read covering some problems I have been working on for a while. [1]: https://arxiv.org/pdf/2205.04596.pdf

Paper and discussion history. A mention is not an endorsement.

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet · HackerPapers discussions

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet — mentioned by gwern

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet — mentioned by Datenstrom