Summary of Sam 2: Segment Anything in Images and Videos, by Nikhila Ravi et al.
SAM 2: Segment Anything in Images and Videos
by Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár, Christoph Feichtenhofer
First submitted to arxiv on: 1 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces SAM 2, a foundation model designed to solve promptable visual segmentation in images and videos. The model features a simple transformer architecture with streaming memory for real-time video processing. The authors collect the largest video segmentation dataset to date using a data engine that improves model and data via user interaction. SAM 2 provides strong performance across various tasks, including improved accuracy in video segmentation with 3x fewer interactions than prior approaches. In image segmentation, the model achieves higher accuracy and is 6x faster than its predecessor, SAM. The authors believe their contributions will be a significant milestone for video segmentation and related perception tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SAM 2 is a new tool that can help us better understand images and videos. It’s like having superpower eyes that can quickly identify different objects in a picture or video. To make this happen, the researchers created a big database of labeled video segments and used it to train their model. They also developed a way to improve the model and data by asking users for feedback. The result is a powerful tool that can accurately identify objects in images and videos, and do so much faster than previous methods. |
Keywords
» Artificial intelligence » Image segmentation » Sam » Transformer
