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End to End Object Detection With Transformers

Aleksa Gordić - The AI Epiphany via YouTube

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Overview

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This course provides a detailed code walkthrough of Facebook’s DETR model for transformer-based object detection. It covers the ResNet backbone, transformer architecture, data loading, attention visualization, Hungarian matching, and loss calculation using a small COCO dataset.

Syllabus

DETR model recap
DETR demo notebook
Visualizing attention notebook
Visualizing encoder attention
Going through the training script
Backbone construction
DETR construction
Data loading and nested tensors
Forward pass through ResNet backbone
Forward pass through the transformer
Hungarian matching algorithm
Loss calculation
Outro

Taught by

Aleksa Gordić - The AI Epiphany

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