#computervisionmodels résultats de recherche

new research from Meta FAIR: Code World Model (CWM), a 32B research model we encourage the research community to research this open-weight model! pass@1 evals, for the curious: 65.8 % on SWE-bench Verified 68.6 % on LiveCodeBench 96.6 % on Math-500 76.0 % on AIME 2024 🧵

Introducing our new tiny vision language model: LFM2-VL-3B 👀 > Expanded multilingual visual understanding: English, Japanese, French, Spanish, German, Italian, Portuguese, Arabic, Chinese, Korean > 51.8% on MM-IFEval (instruction following) > 71.4% on RealWorldQA (real-world…

1/4 What is Computer Vision ? Computer Vision is a branch of AI that enables machines to see, identify, and process images and videos in a way similar to human vision . The goal is not just to "see" but to understand the visual world by interpreting and making decisions based…

(🧵) Today, we release Meta Code World Model (CWM), a 32-billion-parameter dense LLM that enables novel research on improving code generation through agentic reasoning and planning with world models. ai.meta.com/research/publi…

15 ChatGPT prompts for better research _____________ P.S. Meet Dreamina — the world’s #1 AI image model. It lets you create cinematic visuals, edit interactively, and export in 4K quality all in one seamless experience. bit.ly/MuhammadAyan

There is no god tier video model. Ideal use cases for each model: (Full piece by @venturetwins in the a16z newsletter)

New from Meta FAIR: Code World Model (CWM), a 32B-parameter research model designed to explore how world models can transform code generation and reasoning about code. We believe in advancing research in world modeling and are sharing CWM under a research license to help empower…

AI Models learn patterns through training, which sets fixed rules (weights). During responses, they use attention mechanisms to dynamically focus on relevant parts of your specific input.

these are some computer vision papers that everyone must go through atleast once: 1. ResNets: arxiv.org/pdf/1512.03385… 2. YOLO: arxiv.org/abs/1506.02640 3. DeConv: lxu.me/mypapers/dcnn_… 4. GAN: arxiv.org/abs/1406.2661 5. Unet: arxiv.org/abs/1505.04597 6. Focal Loss:…

how a computer vision researcher sees the world (and solves most problems in vision).

A wave of computer vision breakthroughs reshapes how machines “see”—new models generate dynamic 3D worlds from text, edit images with physical precision, and accelerate diffusion by 5× for real-time creativity. #ComputerVision #GenAI youtube.com/watch?v=U6afOP…

Video generation is slow. 5 techniques to make your model 10-40x faster! I spoke yesterday at the AI Infra & Open-Source Meetup by @dstackai about how to make video models more efficient. Here are the main highlights - with all the links you need for faster video diffusion…

want to fine-tune models for OCR/document??? 📑 two tutorials for you 🫡 > fine-tune Kosmos2.5 with grounding: if you have data with bounding boxes + text inside > fine-tune Florence-2 on DocVQA: if you search for answers in a document plug and play with other VLMs! 💗

Check out this collection of over 50 #computervision examples that include code! ow.ly/pkTm30esoOa

Humans see text — but LLMs don’t. I wrote a short blog post exploring how models can perceive text visually rather than tokenize it: 🔗 csu-jpg.github.io/Blog/people_se… From PIXEL, CLIPPO, VisInContext, VIST to DeepSeek-OCR, this is a quick story of how vision-centric modeling is…

Say hello to DINOv3 🦖🦖🦖 A major release that raises the bar of self-supervised vision foundation models. With stunning high-resolution dense features, it’s a game-changer for vision tasks! We scaled model size and training data, but here's what makes it special 👇

15 ChatGPT prompts for better research _____________ P.S. Meet Dreamina — the world’s #1 AI image model. It lets you create cinematic visuals, edit interactively, and export in 4K quality all in one seamless experience. bit.ly/MuhammadAyan

Announcing our State of Generative Media Survey Report 2025! Based on responses from the community, we’ve put together a report covering the key trends in media generation adoption Responses are based on our survey of ~300 developers and creators to understand how the community…

Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense…