The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.
What do OpenAI's language-generating GPT-3 and DeepMind's protein shape-predicting AlphaFold have in common? Besides achieving leading results in their respective fields, both are built atop ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results