In this post, we will discuss the new liquid neural networks and what they might mean for the vision field

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YouTube version of this post.

What are Liquid Neural Networks?

The Backdrop

Note: We have also posted What is a Label Map on our blog. In this post, we will demystify the label map by discussing the role that it plays in the computer vision annotation process. Then we will get hands on with some real life examples using a label map.

Image by author

Note: we have also published Tackling the Small Object Problem on our blog. Detecting small objects is one of the most challenging and important problems in computer vision. In this post, we will discuss some of the strategies we have developed at Roboflow by iterating on hundreds of small object detection models.

Small objects as seen from above by drone in the public aerial maritime dataset
If you prefer video, I have also recorded a discussion of…

Note: We have also published PP-YOLO Surpasses YOLOv4 on our blog. Baidu publishes PP-YOLO and pushes the state of the art in object detection research.

PP-YOLO evaluation shows faster inference (x-axis) with better accuracy (y-axis)

Note: We have also published Train TensorFlow 2 Object Detection model on our blog. Learn how to install, load custom data, train, and infer with your custom TensorFlow 2 Object Detection model to detect any object in the world.

Jacob Solawetz

Machine Learning @ Roboflow — building tools and artifacts like this one to help practitioners solve computer vision. I tweet about this stuff @JacobSolawetz

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