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WeVisOne-VL merges object detection and segmentation in one model

LLMs

WeVisOne-VL: Unified Visual Perception from Objects to Pixels: preview

What is WeVisOne-VL: Unified Visual Perception from Objects to Pixels?

WeVisOne-VL is a vision-language model that predicts the next token to describe both whole objects and individual pixels, letting it handle tasks from classification to segmentation with a single architecture. It uses a structured next-token prediction scheme to keep fine-grained visual details reliable.

Who it is for

Researchers and developers building multimodal apps can replace separate object-detectors and segmenters with a single model, simplifying pipelines and improving consistency.

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