做视觉检测或机器人感知的团队，LocateAnything 的并行解码思路能直接提升实时性，值得点开看看项目页。
NVIDIA 研究团队的 CVPR2026 论文 LocateAnything 在 HuggingFace 上成为趋势第一。该模型是一种视觉语言检测模型，创新性地并行解码边界框，而非传统的一次一个坐标。在 1.38 亿高质量样本上训练，显著提升了定位精度和吞吐量，适用于 AI 智能体和机器人等需要快速精准视觉定位的场景。项目页面已公开。
This #CVPR2026 paper from our research team is trending #1 on @HuggingFace 🤗 Meet LocateAnything: ...
This #CVPR2026 paper from our research team is trending #1 on @HuggingFace 🤗 Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to act. Trained on 138M high-quality samples, LocateAnything decodes bounding boxes in parallel instead of one coordinate at a time, improving localization accuracy while dramatically increasing throughput for visual grounding and detection. Project page: nvda.ws/4dKSohb M Your browser does not support the video tag. 🔗 View on Twitter 💬 8 🔄 11 ❤️ 67 👀 4278 📊 20 ⚡