FocoosAI

[FocoosAI @FocoosAI]

Last booth day for FocoosAI at CVPR! Our CEO and CTO will be happy to introduce you our platform and code!

See you there!

Ps. We have amazing t-shirts! Come before they end!

[FocoosAI @FocoosAI]

🔥🔥

[naveen manwani @NaveenManwani17]

🚨CVPR 2025 Highlight Paper Alert 🚨

➡️Paper Title: SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation

🌟Few pointers from the paper

🎯Referring Video Object Segmentation (RVOS) relies on natural language expressions to segment an object in a video clip.

🎯Existing methods restrict reasoning either to independent short clips, losing global context, or process the entire video offline, impairing their application in a streaming fashion.

🎯In this work, authors aimed to surpass these limitations and design an RVOS method capable of effectively operating in streaming-like scenarios while retaining contextual information from past frames.

🎯They build upon the Segment-Anything 2 (SAM2) model, that provides robust segmentation and tracking capabilities and is naturally suited for streaming processing.

🎯They made SAM2 wiser, by empowering it with natural language understanding and explicit temporal modeling at the feature extraction stage, without fine-tuning its weights, and without outsourcing modality interaction to external models.

🎯To this end, they introduced a novel adapter module that injects temporal information and multi-modal cues in the feature extraction process.

🎯They further revealed the phenomenon of tracking bias in SAM2 and proposed a learnable module to adjust its tracking focus when the current frame features suggest a new object more aligned with the caption.

🎯Their proposed method, “SAMWISE”, achieves state-of-the-art across various benchmarks, by adding a negligible overhead of less than 5 M parameters.

🏢Organization: Politecnico di Torino [@PoliTOnews ], @FocoosAI

🧙Paper Authors: Claudia Cuttano, @gabTrivv , Gabriele Rosi, @masone_carlo , Giuseppe Averta

📝 Read the Full Paper here: https://t.co/boAuqTURIr

🗂️ Project Page: https://t.co/U1OmhvjtDp

🧑‍💻 Code: https://t.co/HWs5683DeM

🎥 Be sure to watch the attached Demo Video - Sound on 🔊🔊

🎵 Music by Adi Iswanto from @pixabay

Find this Valuable 💎 ?

♻️QT and teach your network something new

Follow me 👣, @NaveenManwani17 , for the latest updates on Tech and AI-related news, insightful research papers, and exciting announcements.

#CVPR2025 #highlight

[Fabio Cermelli @fcdl94]

We released open source our core training and models code.

We’re in a path where computer vision models will require hours, not months, to be in production, and this is just the first step.

If you’re interested, drop us a star ⭐ and write me🔥
https://t.co/xjqKyPeB3G

[FocoosAI @FocoosAI]

We’ll be in Nashville in less than a week for #CVPR2025!
@gabrosi3 will show you whether is better to show (visual prompting) or tell (open vocabulary) to achieve better performance in segmentation!

[Gabriele @gabrosi3]

Should you SHOW 🖼️ or TELL 📝 a model what to segment? 🤔
Our new #benchmark compares visual vs textual prompts for semantic segmentation across 14 datasets spanning 7 domains!

Check out our findings ⬇️

[FocoosAI @FocoosAI]

How do you reduce your costs when using LLMs? Let us hear thoughts!

For reading the full article or subscribing to our (new) substack: https://t.co/V6R87JDsM9

[FocoosAI @FocoosAI]

The Hidden Cost of LLMs: What Happens Under the Hood? A Thread 🧵

You’ve probably used an genAI assistant today, certainly powered by LLMs. But have you ever wondered what does it take to answer you? 🤔

It's not just computation—it’s energy and money. Let’s break it down

[FocoosAI @FocoosAI]

Do you really need the biggest model, long prompts, and verbose outputs? 🤷‍♂️

Smart choices = lower costs, higher efficiency, and reduced environmental impact.

Let’s do more with less. 💡🔋 #AI #LLMs #Sustainability