6 ms·
Or you could just use a CNN...
by corimaith 3mo ago
Or you could just use a CNN...
- nullstyle 3mo agoWhich?
- bigmadshoe 3mo agoCNNs are not SoTA anymore when it comes to large models, and also are not used to provide interpretations of images as text, but rather to classify, do semantic segmentation, etc.
- tehjoker 3mo agoCan you say more about that? I haven't kept up.
- crypto420 3mo agoCNNs excel in vision tasks where you have limited compute, limited memory, limited data, and want something that works super well and quick. People usually don't hook CNNs up to a transformer to get language understanding either, you have to train bespoke CNNs for specific tasks ViTs excel where you're unbounded in compute + data and also want text understanding or have a conversation about an image
- bonoboTP 3mo agoThese are vibes. ViT has been shown to work fine on small data with proper hyperparam and most of what you mention is actually doable just fine with the other architecture as well.
- bonoboTP 3mo agoCNNs are fine when trained with a good recipe. There are very few good studies comparing them with proper hyperparam search and all the training tricks applied consistently. Transformers are good but ViT vs CNN is not some settled issue. Transformers are more hyped and more popular with the tech enthusiasts who just read forums and news, but if you need stuff done, CNNs are still great.
- bigmadshoe 3mo agoI agree, but since we're talking about imagine understanding with text output, clearly a CNN is unsuitable. My previous comment was overly reductive and CNNs can still be SoTA depending on your performance metrics. I spent the earlier part of my career training CNNs, and they are very pleasant to work with.
- bonoboTP 3mo agoYou can run a CNN and use the downsampled feature map the same way as patch tokens.
- famouswaffles 3mo ago>Transformers are more hyped and more popular with the tech enthusiasts who just read forums and news, but if you need stuff done, CNNs are still great. Vits are straight up more popular for ML research now, it's not just 'tech enthusiasts'.
- bonoboTP 3mo agoThere's a dearth of research properly comparing them.
- famouswaffles 3mo agoI'm talking about research pushing state of the art in computer vision. Vits have 100% become more popular than CNNs in most CV research.
- bonoboTP 3mo agoYes but not based on rigorous comparison. I'm not saying ViT is bad. But it took over mainly because it's the shiny new thing. It very bandwagon-Y even among PhD students.
- 3mo ago
- Jabrov 3mo agoTransformers are superior