CenterNet: Objects as Points – Anchor Free Object Detection Explained

Описание: CenterNet: Object as Points is one of the milestones in the anchor-free object detection algorithm. Anchor-free object detection is powerful because of its speed and generalizability to other computer vision tasks.

This video showcases a simplified explanation of CenterNet and its architecture. We have also discussed different models and Backbones and compared the results of Hourglass-104 and ResNet-101.

Topics covered are:
✅How CenterNet works
✅It's various Backbones
✅Comparison between Hourglass-104 and ResNet-101
✅CenterNet for Pose Estimation
✅Loss Functions

❓FAQ
How does CenterNet work?
What is the CenterNet model?
What is anchorless object detection?
Is CenterNet one-stage detector?

⭐️ Time Stamps:⭐️
0:00-00:21: Introduction
00:21-02:08: CenterNet Architechture
02:08-02:52: Loss Functions
02:52-03:48: CenterNet Backbone
03:48-04:22: CenterNet for Pose Estimation
04:22-04:32: Comparison of models
04:32-05:00: Comparison of Backbones

If you still need help, then learn more about CENTERNET here:
📚 Blog post Link: https://learnopencv.com/centernet-anc...

About Us:

🖥️ Our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.

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