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Udemy - Introduction to Object Detection using Transformers (2020)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 13 lectures (30m) | Size: 109.1 MB
Learn about Facebook's new DETR method, which uses Transformers to achieve efficient Object Detection
What you'll learn:
Object Detection using Facebook's new efficient technique
Application of Transformers in Object Detection
DETR architecture
Requirements
Basic knowledge of python programming
Basic Understanding of Neural Network
Description
In this course, you will learn about DETR technique which offers a much simpler and a more flexible pipeline architecture that requires fewer heuristics. It is the first object detection framework to successfully integrate Transformers as a central building block in the detection pipeline. DETR matches the performance of state-of-the-art methods, such as well established and highly optimized Faster R-CNN baseline on challenging COCO object detection dataset, while also greatly simplifying and streamlining the architecture.
Who this course is for
Beginner Python Developer who want to learn Object Detection
Homepage
https://www.udemy.com/course/end-to-end-object-detection-using-facebooks-detr-2020/
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https://rapidgator.net/file/2e61b3a57e722f6977f1f804e943ee5a/9geci.Introduction.to.Object.Detection.using.Transformers.2020.rar.html
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