YOLO-World
gnn
| YOLO-World | gnn | |
|---|---|---|
| 3 | 3 | |
| 3,442 | 1,282 | |
| 13.4% | 2.0% | |
| 9.0 | 9.3 | |
| 6 days ago | 15 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
YOLO-World
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A History of CLIP Model Training Data Advances
2024 is shaping up to be the year of multimodal machine learning. From real-time text-to-image models and open-world vocabulary models to multimodal large language models like GPT-4V and Gemini Pro Vision, AI is primed for an unprecedented array of interactive multimodal applications and experiences.
- FLaNK Stack Weekly 19 Feb 2024
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Making My Bookshelves Clickable
Post author here. I like this idea. I plan to explore it and make a more generic solution. I'd love to have a point-and-click interface for annotating scenes.
For example, I'd like to be able to click on pieces of coffee equipment in a photo of my coffee setup so I can add sticky note annotations when you hover over each item.
For the bookshelves idea specifically, I would love to have a correction system in place. The problem isn't so much SAM as it is Grounding DINO, the model I'm using for object identification. I then pass each identified region to SAM and map the segmentation mask to the box.
Grounding DINO detects a lot of book spines, but often misses 1-2. I am planning to try out YOLO-World (https://github.com/AILab-CVC/YOLO-World), which, in my limited testing, performs better for this task.
gnn
- FLaNK Stack Weekly 19 Feb 2024
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Google Researchers Open-Source the TensorFlow GNN (TF-GNN): A Scalable Python Library for Graph Neural Networks in TensorFlow
Continue reading | Checkout the paper and github link
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TensorFlow Introduces TensorFlow Graph Neural Networks (TF-GNNs)
Github: https://github.com/tensorflow/gnn
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