21–30 of 43 posts
God bless people who implement models from academic articles that should frankly include them to begin with. What's more is that this implementation has clear instructions for extending this to your datasets.
Is anyone collecting the various HN discussions as these pop up? I would appreciate help finding them again.
God bless people who implement models from academic articles that should frankly include them to begin with. What's more is that this implementation has clear instructions for extending this to your datasets.
[edit] > people who implement models from academic articles Is anyone collecting the various HN discussions as these pop up? I would appreciate help finding them again.
I wonder with stuff like this, what happens if a self driving car is capable of processing reflections in glass windows? What if it sees a reflection of itself and is able to properly identify it as being itself? Does that make it self aware?
I'm being serious. People like to throw around terms like "self aware" with some assumption that it is a long way off, or impossible, to have a machine be self aware. But that would meet my definition. People will say "yeah but that's not what I mean." And I want to know what you actually mean, then.
Does the iPhone 8 have rgbd now for short range? Maybe someday we could get pixel by pixel depth estimates?
This is cool. I wonder with stuff like this, what happens if a self driving car is capable of processing reflections in glass windows? What if it sees a reflection of itself and is able to properly identify it as being itself? Does that make it self aware? I'm being serious. People like to throw around terms like "self aware" with some assumption that it is a long way off, or impossible, to have a machine be self awa…
God bless people who implement models from academic articles that should frankly include them to begin with. What's more is that this implementation has clear instructions for extending this to your datasets.
[edit] > people who implement models from academic articles Is anyone collecting the various HN discussions as these pop up? I would appreciate help finding them again.
God bless people who implement models from academic articles that should frankly include them to begin with. What's more is that this implementation has clear instructions for extending this to your datasets.
> academic articles that should frankly include them to begin with. Boo hoo. Researchers tell the world for free exactly how to implement their state-of-the-art work (which probably cost north of $1M to develop) and promise to release code, and we're indignant because they didn't do it quite fast enough for us.
Wow, this is fascinating. From a radiology perspective, it could be the missing method for segmenting findings inside a convoluted radiograph.
For example you couldn't implement Mask R-CNN with the COCO dataset as implemented here and get inference on your radiology problem set.