How far are we from scaling next-pixel prediction for image pretraining?
image-processingMoE modelspretraining
How far are we from scaling up next-pixel prediction for image pretraining
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Scaling up next-pixel prediction for image pretraining is an active area of research. Recent advancements in masked image modeling and autoregressive models have shown promising results. However, challenges remain in terms of computational resources and training data requirements. Researchers are exploring various techniques to improve efficiency and effectiveness.
Key Takeaways
Recent advancements in masked image modeling have improved image pretraining
Autoregressive models show promise for next-pixel prediction
Computational resources and training data remain significant challenges
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