December 09 2020

Introduction to Object Detection using Transformers (2020)

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

In this course, you will learn about DETR technique which offers a much simpler and a more flexible pipeline architecture that requires fewer heuristics.


Learn about Facebook's new DETR method, which uses Transformers to achieve efficient Object Detection

Object Detection using Facebook's new efficient technique

Application of Transformers in Object Detection

DETR architecture

Basic knowledge of python programming

Basic Understanding of Neural Network

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 challeg COCO object detection dataset, while also greatly simplifying and streamlining the architecture.

Bner Python Developer who want to learn Object Detection



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