Tencent's WeVisOne-VL handles detection, OCR, segmentation and matting in one model
WeChat Vision researchers describe a vision-language model that covers detection, grounding, counting, OCR, segmentation and alpha matting by predicting structured tokens, with a small pixel decoder for masks. They claim top results across more than 30 benchmarks and say weights are being released.
Why it matters
One small open model could replace several separate perception models in vision pipelines.
Source: Read the full story on arXiv