Question: What are the new modules of this model, which is developed by Meta, compared with its v1 version?
Date: 2024-08-01

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Introducing SAM 2: The next generation of Meta Segment Anything Model ...
Today, we're announcing the Meta Segment Anything Model 2 (SAM 2), the next generation of the Meta Segment Anything Model, now supporting object segmentation in videos and images. We're releasing SAM 2 under an Apache 2.0 license, so anyone can use it to build their own experiences. We're also sharing SA-V, the dataset we used to build ...

SAM 2: Segment Anything in Images and Videos | Research - AI at Meta
Our model is a simple transformer architecture with streaming memory for real-time video processing. SAM 2 trained on our data provides strong performance across a wide range of tasks. In video segmentation, we observe better accuracy, using 3x fewer interactions than prior approaches. In image segmentation, our model is more accurate and 6x ...

SAM 2 — The next generation of Meta's Segment Anything Model for videos ...
SAM + SAM 2 Mask: Combining SAM for spatial masks and an early version of SAM 2 for temporal propagation SAM 2: Utilizing the full SAM 2 model for interactive annotation This iterative process allowed for increasingly efficient annotation, with the final phase being 8.4 times faster than the initial per-frame annotation method.

Our New AI Model Can Segment Anything - Even Video | Meta
Our new Segment Anything Model 2 (SAM 2) extends these capabilities to video. SAM 2 can segment any object in an image or video, and consistently follow it across all frames of a video in real-time. Existing models have fallen short in enabling this as segmentation in video is significantly more challenging than in images.

Meta Segment Anything Model 2
SAM 2 was trained on a large and diverse set of videos and masklets (object masks over time), created by applying SAM 2 interactively in a model in the loop data-engine. The training data includes the SA-V dataset, which we are open sourcing. Please email support@segment-anything.com with any issues or questions regarding the SA-V dataset.

Meta introduces SAM 2, its next generation Segment Anything ... - Neowin
Meta has released Segment Anything Model 2 (SAM 2), an improved version of their image and video segmentation model. SAM 2 is faster, more accurate, and now supports video segmentation.

SAM 2: Meta's Next-Gen Model for Video and Image Segmentation
Meta's Segment Anything Model (SAM) can instantly identify objects in images and separate them without needing to be trained on specific images. It's like a digital magician, able to understand each object in an image with just a wave of its virtual wand. After the successful release of llama 3.1, Meta announced SAM 2 on July 29th, a unified ...

SAM 2: Segment Anything in Images and Videos - GitHub
Segment Anything Model 2 (SAM 2) is a foundation model towards solving promptable visual segmentation in images and videos. We extend SAM to video by considering images as a video with a single frame. The model design is a simple transformer architecture with streaming memory for real-time video processing.

Answer: memory attention, memory encoder, memory bank