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Posts tagged #sam2

Fast SAM2 with Text-Driven Token Pruning
Avilasha Mandal, Caiyan Qin et al.
Paper
Details
#SAM2 #TextDrivenPruning #AIresearch

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OCTRON stands on the shoulders of giants. We make use of #SAM2 (meta), #YOLO11 (ultralytics) and some of THE best multi-object trackers out there #BoxMOT. For rapid data access we use python-zarr (>3.1).
We couldn’t have done it without the super supportive community surrounding @napari.org.

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New IEEE J-BHI research!

Zero-Shot Capillary Segmentation in #Dermoscopy Images via #SAM2 explores advanced #AI-driven analysis for oral mucosa imaging.

🔗 ieeexplore.ieee.org/document/11224518

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SAM2-ELNet Boosts Remote Sensing Segmentation with Automatic Labeling

SAM2-ELNet Boosts Remote Sensing Segmentation with Automatic Labeling

SAM2-ELNet was tested on Deep‑SAR Oil Spill (SOS) and CHN6‑CUG Road datasets, using only 30 % of training data, achieving performance near models trained on full labels. getnews.me/sam2-elnet-boosts-remote... #sam2 #remotesensing #segmentation

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MirrorSAM2 Introduces AI-Powered Video Mirror Segmentation with Depth

MirrorSAM2 Introduces AI-Powered Video Mirror Segmentation with Depth

MirrorSAM2, an extension of SAM2, adds depth‑aware, prompt‑free mirror detection in RGB‑D video streams and was tested on VMD and DVMD datasets achieving state‑of‑the‑art results. getnews.me/mirrorsam2-introduces-ai... #mirrorsam2 #sam2

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A screenshot of the Kdenlive video editing interface. A clip of a man outdoors is seen with a red mask overlay applied over him. Another panels shows settings for the Object Masking effect.

A screenshot of the Kdenlive video editing interface. A clip of a man outdoors is seen with a red mask overlay applied over him. Another panels shows settings for the Object Masking effect.

If I'm not mistaken, one of the library/model used for the object selection in #Krita is the same as the one used for #Kdenlive's new Object Mask effect (#SAM2) […]

[Original post on mastodon.design]

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Continuing my exploration of integrating Meta's #SAM2 with #Houdini for enhancing sports highlights, I recently added more VFX to the workflow—and the results have been even more impressive.
If anyone else is experimenting with AI-based VFX, I’d love to hear your thoughts! 🚀🏀🎥

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🏞️ Meta lanceert #SAM2. Een videobewerkingtool die beelden kan herkennen en die de mogelijkheid biedt om real-time aanpassingen door te voeren. Deze gratis applicatie maakt het maken van creatieve en vernieuwende -bewegende- beelden steeds makkelijker en realistischer. Lees meer :: lnkd.in/e7X3UhA6

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How to Run Samurai Motion Tracking Model on Google Colab: Step-by-Step Guide Learn how to run SAMURAI, a zero-shot visual tracking model based on SAM (Segment Anything Model), on Google Colab. This step-by-step guide covers setting up GPU runtime, installing dependencies, and ...

How to run samurai on Google Colab
baxin.netlify.app/how-to-run-s...
#samurai #sam2 #python #motiontracking

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Segment Anything Model 2 (SAM2) - Meta社による動画内からオブジェクトを識別可能なAIモデルが発表!Github上でソース公開! Metaが動画からオブジェクトを識別することができる統合AIモデルの「Segment Anything Mod…

Meta社による動画内からオブジェクトを識別可能なAIモデルが発表!Github上でソース公開!
Segment Anything Model 2 (SAM2)
3dnchu.com/archives/met...
実写合成が捗りそう
#SAM2 #Meta

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Introducing Meta’s SAM 2: The Future of Real-Time Object Segmentation Meta has once again pushed the boundaries of artificial intelligence with the unveiling of SAM 2, the next generation of their…

I just published Introducing Meta’s SAM 2: The Future of Real-Time Object Segmentation

#MetaAI #sam2 #Zuckerberg #Segmentation #SIGGRAPH2024

https://link.medium.com/p9p9ygp8ELb

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GitHub - facebookresearch/segment-anything-2: The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, an... The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th...

Segment Anything Model 2 (SAM 2) is a model for visual segmentation in images and videos. With a transformer architecture, it enables real-time video editing. The SA-V dataset improves the model and data through user interaction.
#AI #SAM2 #MachineLearning #ComputerVision

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