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CenterNet: Objects as Points – Anchor Free Object Detection Explained

LearnOpenCV
59.5K subscribers
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9.9K views 2 years ago #objectdetection #opencv #AI
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  …...more
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CenterNet: Objects as Points – Anchor Free Object Detection Explained
115Likes
9,986Views
2022Nov 3
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. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level. https://opencv.org/courses #️⃣ Social Media #️⃣ 📝 Linkedin:   / satyamallick   📱 Twitter:   / learnopencv   🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram:   / learnopencv   🔗 Reddit:   / spmallick   Do you have any questions, tips, or ideas about CenterNet? Have other questions not covered in this video? Let us know in the comments section below! 🔖Hashtags🔖 #AI #machinelearning #objectdetection #deeplearning #computervision #objecttracking #centernet #objectdetection #learnopencv #opencv

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LearnOpenCV

59.5K subscribers
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