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Matching papers

WeVisOne-VL: Unified Visual Perception from Objects to Pixels

242 upvotes · 22 OCT 2026 · Tianming Liang, Junyi Pan, Yuxi Li et al.

This paper develops a vision-language model (VLM) that can accurately perceive objects and pixels in images, which can be useful for various applications such as self-driving cars, medical imaging, and augmented reality. Practitioners in these fields may care about the potential improvements in visual perception and object detection that this model can bring.

vision-language modelsvisual perceptionobject detectionpixel-level tasksinstance segmentation