Several open-source multimodal language models have adapted their methodologies accordingly, e.g., Gemma3 (opens in new tab) uses pan-and-scan and NVILA (opens in new tab) uses Dynamic S2. However, their trade-offs are difficult to understand across different datasets and hyperparameters. To this end, we conducted an ablation study of several techniques. We trained a smaller 5 billion parameter Phi-4 based proxy model on a dataset of 10 million image-text pairs, primarily composed of computer-use and GUI grounding data. We compared with Dynamic S2, which resizes images to a rectangular resolution that minimizes distortion while admitting a tiling by 384×384 squares; Multi-crop, which splits the image into potentially overlapping 384×384 squares and concatenates their encoded features on the token dimension; Multi-crop with S2, which broadens the receptive field by cropping into 1536×1536 squares before applying S2; and Dynamic resolution using the Naflex variant of SigLIP-2, a natively dynamic-resolution encoder with adjustable patch counts.
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。业内人士推荐谷歌作为进阶阅读
The Yashica Tank looks like a camera that costs way more than it does. | Image: Yashica，推荐阅读超级工厂获取更多信息
Украину объявили законной целью для атак Ирана. Какую роль сыграл Киев в войне на Ближнем Востоке?16:13
第一次是3月2日在阿聯酋首都阿布扎比前往鄰國阿曼的大巴上。當時戰鬥機在頭頂盤旋，他們心想：戰鬥機會不會等下就要往下炸了。