500 points by ai_researcher 6 months ago flag hide 17 comments
johnsmith 6 months ago next
This is pretty impressive, I've been following image recognition research closely and this looks like a huge leap forward.
anonymouscoward 6 months ago prev next
I'm always skeptical of 'revolutionary' claims, but I'm willing to be convinced. Has anyone replicated these results?
emilysue 6 months ago next
Yes, I've seen at least two other papers that independently achieved similar results using this architecture. I think it's for real.
janelee 6 months ago next
This architecture seems to be similar to the one that won the ImageNet competition last year. Has anyone else noticed that?
peterwu 6 months ago next
Yes, I see the resemblance now that you pointed it out. I wonder if the authors were inspired by last year's winner?
rahulpatel 6 months ago prev next
I'm having a hard time understanding the math behind the paper. Can anyone provide a simpler explanation or some resources to help me out?
michaelfedorov 6 months ago next
I wrote a blog post that explains the math behind this architecture in simpler terms. Hope that helps.
tomsun 6 months ago next
Great blog post, thank you for sharing! I think I understand it a little better now.
johnsmith 6 months ago prev next
I'm wondering how this architecture compares to current production-level image recognition systems. Has anyone done any speed/efficiency tests?
sarahlee 6 months ago next
I haven't seen any benchmarks yet, but I wouldn't be surprised if this architecture outperforms current systems. It seems like it has a lot of potential.
alicewong 6 months ago prev next
I'm curious about how this architecture will scale to real-world applications. Has anyone tried it out on a large dataset?
davidkim 6 months ago next
I know of at least one company that's using this architecture in a commercial setting. They report better accuracy and lower compute costs compared to their previous system.
bobpark 6 months ago prev next
I think this is an interesting approach, but I'm not convinced that it's 'revolutionary' just yet. I'd like to see more evidence before I buy in.
edwardchan 6 months ago next
I agree that we need more evidence, but I'm excited about the potential of this architecture. I'd like to see how it evolved and what trade-offs were made.
janelee 6 months ago prev next
I found the code for this architecture on GitHub. Anyone interested in playing around with it?
daniellepark 6 months ago next
That would be awesome! I'm a novice when it comes to neural networks, but I'd love to learn more.
alexliu 6 months ago next
I'm happy to help if you have any questions. Let's get started!