正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding TL;DR: DINO-X Pro: sota model with enhanced perception capabilities for various scenarios; DINO-X Edge: model optimized for faster inference speed and better suited for deployment on edge devices

Alexandre Morgand

2,061 subscribers

60,720 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

8 条评论

Alexandre Morgand 的头像

Alexandre Morgand1 年前

Blogpost: Paper: Source code:

UserInterface 的头像

UserInterface2 年前

The Future of IoT Devices: Analog Computing and the Fusion of Analog-Digital Processors #tech #news

Jim Bohnslav 的头像

Jim Bohnslav1 年前

If only they had the weights

Kevin Patel 的头像

Kevin Patel1 年前

Impressive results, but keep in mind that it is an API-only model

Alexandre Morgand 的头像

Alexandre Morgand1 年前

Thanks for the clarification!

SajayR 的头像

SajayR1 年前

Training a for-edge model and then keeping it behind an API is confusing behaviour

Romano Ryan 的头像

Romano Ryan1 年前

Such a cool mix of speed and perception, really impressive! 🍊

Opeih 的头像

Opeih1 年前

impressive results

相关视频

Meet Reka Edge – Our next-generation vision language model for physical AI. Uses 3x fewer input tokens and achieves 65% faster throughput compared to leading 8B models. Image understanding, video analysis, object detection, and tool use. Built for Action. Fast enough for production, deployable anywhere. Read more:

Meet Reka Edge – Our next-generation vision language model for physical AI. Uses 3x fewer input tokens and achieves 65% faster throughput compared to leading 8B models. Image understanding, video analysis, object detection, and tool use. Built for Action. Fast enough for production, deployable anywhere. Read more:

Reka

52,741 次观看 • 2 个月前

Thinking with Camera A Unified Multimodal Model for Camera-Centric Understanding and Generation

Thinking with Camera A Unified Multimodal Model for Camera-Centric Understanding and Generation

AK

39,318 次观看 • 7 个月前

CARATS AND DINONARAS, DROP THE TAGS FOR OUR DINO!! LETS BE LOUD AND PROUD FOR HIM!! AAAAAHHHH HE'S SOOO AMAZING DAMN. THAT'S OUR DINO!!! 🤩 DINO X EWC TIL MY FINGERS BLEED #디노와_함께하는_2025EWC주제곡 #DINO_TilMyFingersBleed #EWC2025 세븐틴(SEVENTEEN)

CARATS AND DINONARAS, DROP THE TAGS FOR OUR DINO!! LETS BE LOUD AND PROUD FOR HIM!! AAAAAHHHH HE'S SOOO AMAZING DAMN. THAT'S OUR DINO!!! 🤩 DINO X EWC TIL MY FINGERS BLEED #디노와_함께하는_2025EWC주제곡 #DINO_TilMyFingersBleed #EWC2025 세븐틴(SEVENTEEN)

ash 𐙚

16,061 次观看 • 11 个月前

✨ Introducing Gemma 3n, available in early preview today. The model uses a cutting-edge architecture optimized for mobile on-device usage. It brings multimodality, super fast inference, and more.

✨ Introducing Gemma 3n, available in early preview today. The model uses a cutting-edge architecture optimized for mobile on-device usage. It brings multimodality, super fast inference, and more.

Google AI Developers

125,209 次观看 • 1 年前

DINO'S VOCALS FOR TIL MY FINGERS BLEED OH DINO YOU'RE AMAZING DROP THE TAGS FOR DINO!!!!!! 👇👇👇👇 DINO X EWC TIL MY FINGERS BLEED #디노와_함께하는_2025EWC주제곡 #DINO_TilMyFingersBleed #EWC2025 세븐틴(SEVENTEEN)

DINO'S VOCALS FOR TIL MY FINGERS BLEED OH DINO YOU'RE AMAZING DROP THE TAGS FOR DINO!!!!!! 👇👇👇👇 DINO X EWC TIL MY FINGERS BLEED #디노와_함께하는_2025EWC주제곡 #DINO_TilMyFingersBleed #EWC2025 세븐틴(SEVENTEEN)

☻

58,396 次观看 • 11 个月前

if this comes across your tl, please drop tags for dino! 🦖 the world is about to know how good of a performer he is!🔥 DINO X EWC TIL MY FINGERS BLEED #디노와_함께하는_2025EWC주제곡 #DINO_TilMyFingersBleed #EWC2025 세븐틴(SEVENTEEN)

if this comes across your tl, please drop tags for dino! 🦖 the world is about to know how good of a performer he is!🔥 DINO X EWC TIL MY FINGERS BLEED #디노와_함께하는_2025EWC주제곡 #DINO_TilMyFingersBleed #EWC2025 세븐틴(SEVENTEEN)

angel saw svt! ⚡️

40,002 次观看 • 10 个月前

Dear Visitors, Please check out the adjustment video. Adjusted the facial model and hairstyle performance for the [Costume] Gardener - Cosmic Witch, optimizing the head material； Adjusted the facial model and hairstyle performance for the [Costume] Embalmer - Phoenix; Adjusted the facial model and hairstyle performance for the [Costume] Doctor - Yesterday; Adjusted the facial model and hairstyle performance for the [Costume] Doctor - Firefly; Optimized the facial model performance for the Female Dancer, improving model precision; Optimized the facial model performance for the Forward, improving model precision; Optimized the facial model performance for the Mercenary, improving model precision; Optimized the facial model performance for the Gardener, improving model precision; Optimized the facial model performance for the Mechanic, improving model precision; Added new visual effects for vaulting windows and pallets when the Coordinator holds S or A Accessories.

Dear Visitors, Please check out the adjustment video. Adjusted the facial model and hairstyle performance for the [Costume] Gardener - Cosmic Witch, optimizing the head material； Adjusted the facial model and hairstyle performance for the [Costume] Embalmer - Phoenix; Adjusted the facial model and hairstyle performance for the [Costume] Doctor - Yesterday; Adjusted the facial model and hairstyle performance for the [Costume] Doctor - Firefly; Optimized the facial model performance for the Female Dancer, improving model precision; Optimized the facial model performance for the Forward, improving model precision; Optimized the facial model performance for the Mercenary, improving model precision; Optimized the facial model performance for the Gardener, improving model precision; Optimized the facial model performance for the Mechanic, improving model precision; Added new visual effects for vaulting windows and pallets when the Coordinator holds S or A Accessories.

Identity V

74,155 次观看 • 5 个月前

The legacy of Model S & X will live on in our vision for autonomy

The legacy of Model S & X will live on in our vision for autonomy

Tesla

35,442,303 次观看 • 13 天前

Microsoft's new Florence 2 is big for Computer Vision. It's a merge between Text and Vision. With a single prompt you can instruct the model to do CV tasks like captioning, object detection, grounding, and segmentation. The best part, it only uses a single backbone to handle everything. ▸ Excels in zero-shot performance ▸ Unified model for detection, captioning, etc. ▸ FLD-5B dataset: 5B+ annotations, 126M images ▸ New benchmarks (>5.5+) on COCO, ADE20K

Microsoft's new Florence 2 is big for Computer Vision. It's a merge between Text and Vision. With a single prompt you can instruct the model to do CV tasks like captioning, object detection, grounding, and segmentation. The best part, it only uses a single backbone to handle everything. ▸ Excels in zero-shot performance ▸ Unified model for detection, captioning, etc. ▸ FLD-5B dataset: 5B+ annotations, 126M images ▸ New benchmarks (>5.5+) on COCO, ADE20K

Lior Alexander

186,544 次观看 • 2 年前

Model deployment and GPU services for AI developers. 🚀 AI Inference Acceleration: On-demand GPU acceleration for AI model and application inference. 📷 Development & Deployment Engine: End-to-end tools for building and deploying AI models. Project Advantages: · Pay-as-you-go · One-click deployment · Dynamic scalability · Unified interface #AIInference #GPUComputing #AIAcceleration #ModelDeployment #AIInfrastructure #EdgeAI #CloudAI #AIDevelopment #AIDeployment #AIDevTools #PayAsYouGo #OneClickDeployment #ScalableAI #UnifiedPlatform #DePIN #AIForDevelopers #MachineLearning #AIModels #AIStartup #AIAgent

Model deployment and GPU services for AI developers. 🚀 AI Inference Acceleration: On-demand GPU acceleration for AI model and application inference. 📷 Development & Deployment Engine: End-to-end tools for building and deploying AI models. Project Advantages: · Pay-as-you-go · One-click deployment · Dynamic scalability · Unified interface #AIInference #GPUComputing #AIAcceleration #ModelDeployment #AIInfrastructure #EdgeAI #CloudAI #AIDevelopment #AIDeployment #AIDevTools #PayAsYouGo #OneClickDeployment #ScalableAI #UnifiedPlatform #DePIN #AIForDevelopers #MachineLearning #AIModels #AIStartup #AIAgent

MetaY

26,164 次观看 • 11 个月前

World Modeling research needs fast iteration, reproducibility, optimized baselines, open-source, and precise zero-shot stress testing. Here comes stable-worldmodel! Paper: Code: Come stress-test your model/idea! DINO-WM results ⬇️

World Modeling research needs fast iteration, reproducibility, optimized baselines, open-source, and precise zero-shot stress testing. Here comes stable-worldmodel! Paper: Code: Come stress-test your model/idea! DINO-WM results ⬇️

Randall Balestriero

43,571 次观看 • 3 个月前

✨ Introducing 𝐎𝐩𝐞𝐧𝐕𝐋𝐀 — an open-source vision-language-action model for robotics! 👐 - SOTA generalist policy - 7B params - outperforms Octo, RT-2-X on zero-shot evals 🦾 - trained on 970k episodes from OpenX dataset 🤖 - fully open: model/code/data all online 🤗 🧵👇

✨ Introducing 𝐎𝐩𝐞𝐧𝐕𝐋𝐀 — an open-source vision-language-action model for robotics! 👐 - SOTA generalist policy - 7B params - outperforms Octo, RT-2-X on zero-shot evals 🦾 - trained on 970k episodes from OpenX dataset 🤖 - fully open: model/code/data all online 🤗 🧵👇

Moo Jin Kim

226,922 次观看 • 1 年前

We're releasing HY-Embodied-0.5, a family of foundation models for real-world embodied agents. The 2B model is now open source. It strengthens spatial-temporal perception and embodied reasoning for prediction, interaction, and planning. 🤖 The suite includes: 🔹 2B for edge deployment 🔹 32B for complex reasoning Key innovations: 🔹 Mixture-of-Transformers (MoT) architecture for modality-specific computation 🔹 Latent tokens for improved perceptual representation 🔹 Self-evolving post-training 🔹 On-policy distillation from large to small models Across 22 benchmarks, the 2B model outperforms similarly sized SOTA systems on 16 tasks. The 32B model approaches frontier-level performance. 🔗 GitHub: 🤗 Hugging Face:

We're releasing HY-Embodied-0.5, a family of foundation models for real-world embodied agents. The 2B model is now open source. It strengthens spatial-temporal perception and embodied reasoning for prediction, interaction, and planning. 🤖 The suite includes: 🔹 2B for edge deployment 🔹 32B for complex reasoning Key innovations: 🔹 Mixture-of-Transformers (MoT) architecture for modality-specific computation 🔹 Latent tokens for improved perceptual representation 🔹 Self-evolving post-training 🔹 On-policy distillation from large to small models Across 22 benchmarks, the 2B model outperforms similarly sized SOTA systems on 16 tasks. The 32B model approaches frontier-level performance. 🔗 GitHub: 🤗 Hugging Face:

Tencent Hy

34,285 次观看 • 1 个月前

dino pi cheolin fighting rap x hot #SEVENTEEN_NEW_IN_LA #DINO #디노

dino pi cheolin fighting rap x hot #SEVENTEEN_NEW_IN_LA #DINO #디노

tady

65,282 次观看 • 7 个月前

Zhipu AI just released GLM-4.6V on Hugging Face This new multimodal model achieves SOTA visual understanding, features native function calling for agents, and handles 128k context for documents. Perception to action!

Zhipu AI just released GLM-4.6V on Hugging Face This new multimodal model achieves SOTA visual understanding, features native function calling for agents, and handles 128k context for documents. Perception to action!

DailyPapers

16,629 次观看 • 5 个月前

scoups x mingyu with minghao, dino, and vernon! cheolhao’s hug 🥹

scoups x mingyu with minghao, dino, and vernon! cheolhao’s hug 🥹

쿱정원

59,728 次观看 • 1 个月前

NVIDIA's LocateAnything is a new vision model for grounding and detection. Very performant and accurate! > 10x faster than Qwen3-VL > 138M queries + 785M boxes > GUI, OCR, docs, dense detection > Free & open source

NVIDIA's LocateAnything is a new vision model for grounding and detection. Very performant and accurate! > 10x faster than Qwen3-VL > 138M queries + 785M boxes > GUI, OCR, docs, dense detection > Free & open source

⚡AI Search⚡

118,599 次观看 • 7 天前

FunctionGemma 270M brings powerful agentic capabilities directly to edge devices📱 This video shows how fine-tuning this lightweight model to translate natural language into actionable system commands, can be run entirely on-device for lower latency and better privacy.

FunctionGemma 270M brings powerful agentic capabilities directly to edge devices📱 This video shows how fine-tuning this lightweight model to translate natural language into actionable system commands, can be run entirely on-device for lower latency and better privacy.

Google AI Developers

26,322 次观看 • 5 个月前

🚀 We’re excited to announce LingBot-VA, a new state-of-the-art robot policy model from Robbyant ! LingBot-VA is built on a causal, autoregressive video-action world model for generalist robot control. Highlights: (1) First unified autoregressive video-action world model for robot control (2) Low-latency inference with a new asynchronous execution pipeline (3) SOTA on RoboTwin (92.9%, firstever > 90%) and LIBERO (98.5%) (4) +20% over π0.5 on challenging real-world long-horizon & high-precision tasks

🚀 We’re excited to announce LingBot-VA, a new state-of-the-art robot policy model from Robbyant ! LingBot-VA is built on a causal, autoregressive video-action world model for generalist robot control. Highlights: (1) First unified autoregressive video-action world model for robot control (2) Low-latency inference with a new asynchronous execution pipeline (3) SOTA on RoboTwin (92.9%, firstever > 90%) and LIBERO (98.5%) (4) +20% over π0.5 on challenging real-world long-horizon & high-precision tasks

Yinghao Xu

46,212 次观看 • 4 个月前