Interesting new "Simple Self Attention layer" that improves all tested resnet baselines on Imagenette and Imagewoof. Seems like something worth looking into further! https://github.com/sdoria/SimpleSelfAttention …pic.twitter.com/PIIy0nXHfm
Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.
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Interesting new "Simple Self Attention layer" that improves all tested resnet baselines on Imagenette and Imagewoof. Seems like something worth looking into further! https://github.com/sdoria/SimpleSelfAttention …pic.twitter.com/PIIy0nXHfm
I've tried to add symmetry to SelfAttention, a very minor improvement if any.https://github.com/mgrankin/SimpleSelfAttention/blob/master/Imagenette%20Simple%20Symmetric%20Self%20Attention.ipynb …
I updated the repo, added your symmetry hack, thank you!
Have you seen that paper? I believe Simple Self-Attention would work even better. https://arxiv.org/pdf/1906.05909.pdf …
@mgrankin , you might be interested in the modification I made to Simple Self-Attention (currently in the xresnet file in my repo). One small change in order of operation is making it much faster and probably less sensitive to image size.
I've made an injection of Simple Self-Attention layer to a pretrained Resnet. It could be more practical to use it that way. It works good, although it is hard to tell is it really better than plain Resnet. https://github.com/mgrankin/SimpleSelfAttention/blob/master/pretrained.py …pic.twitter.com/KibuEamHMP
Have you been tracking gamma? You'll want to train until that levels off a bit. Self-attention tends to take a while to train. I'm also curious how this compares to PooledSelfAttention (in FastAI library). I've been using that lately and it's next level for me.
BTW I should have mentioned- great idea doing this injection!
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