Unverified50% confidenceFactExact time
Having a VLM directly output pixel-level precise coordinates is using it in a way it is not good at; large models excel at semantic understanding and coarse-grained localization, but are unreliable in geometric precision.
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9/11/2026
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UnverifiedFor tasks requiring geometric precision and sub-pixel-level coordinate output, specialized CV algorithms still cannot be replaced by large models.75% similarUnverified许多VLM会对高分辨率图像进行下采样或采用动态分辨率策略，在信息保留与计算效率之间寻找平衡74% similarUnverifiedVSArena's scoring system internally uses ground-truth poses to evaluate spatial accuracy and task completion, but these ground-truth poses are visible only to the judge and do not flow into the policy's input.71% similarUnverifiedVLM 视觉方案（如 WebVoyager、SeeAct）存在幻觉问题、坐标定位精度不足，且每次操作需消耗大量 token 处理图像信息69% similarUnverifiedFor cross-style map registration, a hybrid architecture is recommended in which CV handles geometric precision and VLM handles semantic understanding.68% similar
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