کار خفنیه 😉
دوزگون بیر ایش دیر 😉
This #CVPR2026 paper from our research team is trending #1 on Hugging Face 🤗
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: https://nvda.ws/3RAJgTB
اشتراک با دوستان| کانالیمیزی دا جانلی یایین:
https://t.me/Machinelearning_Kartal
دوزگون بیر ایش دیر 😉
This #CVPR2026 paper from our research team is trending #1 on Hugging Face 🤗
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: https://nvda.ws/3RAJgTB
اشتراک با دوستان| کانالیمیزی دا جانلی یایین:
https://t.me/Machinelearning_Kartal
Nvidia
LocateAnything
Parallel Box Decoding unlocks substantial parallelism and preserves intra-box geometric coherence.
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