Hello trend,
This is Satya Mallick from LearnOpenCV.com.
We just created a highlights video for explaining CenterNet. It's just 5 minutes long but it is packed with a lot of information that I'm sure you wouldn't want to miss.
| CenterNet Paper Explanation Video |
In our 5-minute video we discuss:
✅ How CenterNet works
✅ It's various Backbones
✅ Comparison between Hourglass-104 and ResNet-101
✅ CenterNet for Pose Estimation
✅ Loss Functions
If you prefer to read, the accompanying blog post for the above video can be found here:
| YOLOv7 Paper Explanation & Comparison |
We have provided the link to Google Colab as well as instructions to use it on your local system. Do star us on GitHub to say thanks!
| Download Code (GitHub) |
In case you missed it, here's the complete list of posts on our Object Detection series:
- YOLOv6 Object Detection - Paper Explanation and Inference
- YOLOX Object Detector and Custom Training on Drone Dataset
- YOLOv7 Object Detector Training on Custom Dataset
- YOLOv7 Object Detector Paper Explanation and Inference
- YOLOv5 Custom Object Detector Training on Vehicles Dataset
- YOLOv5 Object Detection using OpenCV DNN
- YOLOv4 - Training a Custom Pothole Detector
Is there any other Object Detection model that you want us to research upon?
Cheers!
Satya
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