Our primary finding is that dynamic resolution vision encoders perform the best and especially well on high-resolution data. It is particularly interesting to compare dynamic resolution with 2048 vs 3600 maximum tokens: the latter roughly corresponds to native HD 720p resolution and enjoys a substantial boost on high-resolution benchmarks, particularly ScreenSpot-Pro. Reinforcing the high-resolution trend, we find that multi-crop with S2 outperforms standard multi-crop despite using fewer visual tokens (i.e., fewer crops overall). The dynamic resolution technique produces the most tokens on average; due to their tiling subroutine, S2-based methods are constrained by the original image resolution and often only use about half the maximum tokens. From these experiments we choose the SigLIP-2 Naflex variant as our vision encoder.
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但如果你坐飞机降落在利雅得或者迪拜，最好改个口。在阿拉伯国家眼里，这片水域必须叫 Arabian Gulf(阿拉伯湾)。。新收录的资料是该领域的重要参考
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为了确保 pip 编译 mmcv-full 时使用 Conda 的新版 GCC，而不是系统 4.8.5，需要设置环境变量：