@NVIDIAAI: This #CVPR2026 paper from our research team is trending #1 on @HuggingFace Meet LocateAnything: a vision-language detec…
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NVIDIA's research team released LocateAnything, a vision-language detection model that rethinks bounding box prediction, which is trending #1 on HuggingFace.
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Cached at: 05/29/26, 03:36 AM
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 https://t.co/2OGaQnUCnX
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@ZhidingYu: We just adopted a super cool new space template for LocateAnything, made by @_akhaliq the great. Thank you AK! Try it o…
NVIDIA's LocateAnything, a vision-language detection model rethinking bounding box prediction, is now available as a Hugging Face Space and trending #1 on the platform. The space template was created by @_akhaliq.
@ZhidingYu: Thank you NVIDIA! I will be presenting LocateAnything at #CVPR2026 at the NVIDIA Booth: June 5 4:20 - 4:40 pm MDT (Frid…
NVIDIA introduces LocateAnything, a unified generative grounding and detection framework that uses Parallel Box Decoding to improve decoding throughput and localization accuracy. This work will be presented at CVPR 2026.
@VincentLogic: NVIDIA's newly open-sourced LocateAnything model is really impressive. The previous visual grounding models generated coordinates digit by digit (like squeezing toothpaste), slow and unstable. This new model uses "parallel bounding box decoding" to predict complete coordinates in one step, much faster and more accurate...
NVIDIA has open-sourced the LocateAnything model, using parallel bounding box decoding technology to predict complete coordinates in one step, fast and accurate. The model has only 3B parameters and can run on consumer-grade GPUs, supporting video object localization, UI recognition, OCR, and other tasks.
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
LocateAnything proposes Parallel Box Decoding for unified visual grounding and object detection, decoding geometric elements as atomic units to improve throughput and localization accuracy, supported by a large-scale dataset of 138M samples.
@DataChaz: NVIDIA just pulled off something crazy: making bounding box detection 10x faster by ripping out the exact step the enti…
NVIDIA researchers developed a technique to speed up bounding box detection by 10x by eliminating the autoregressive token-by-token prediction step used in VLM grounding models.