Survey compares Vision Encoders across 9 frontier models, from SigLIP 2 to encoder-free
liuziwei7 · x · 2026-10-20
Researcher purshow (retweeted by liuziwei7) published a systematic overview of Vision Encoders used in today's frontier models.
- Compares publicly available details of 9 models, spanning SigLIP 2, Perception Encoder, and encoder-free approaches
- Covers visual architectures, spatiotemporal compression, positional embeddings, training recipes, and notable infra optimizations
- Argues vision encoders are increasingly overlooked in large model research despite many open questions
- Reflects on how the author's research taste evolved toward removing inductive bias and letting architectures learn naturally
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