DETR Explained | End-to-End Object Detection with Transformers | DETR Tutorial Part 1

ExplainingAI · Beginner ·👁️ Computer Vision ·11mo ago
This tutorial video covers DETR, end to end object detection with transformers. DETR transforms object detection into a direct set prediction problem. There are no anchors, no need for NMS, just elegant transformers. In this video which is Part I of two part video, we go deep into DETR by Facebook AI, understanding how it replaces traditional object detection pipelines with a transformer-based architecture for end-to-end object detection. The video will go over DETR model, its architecture breakdown, how it removes the need for NMS and anchor boxes, Hungarian matching and loss used to train i…
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Chapters (10)

DETR : End-to-end object detection with transformers
0:51 High Level Overview of DETR Architecture
13:10 Backbone of Detection Transformer
14:35 Detr Transformer Encoder
19:07 Detr Transformer Decoder
26:00 Hungarian matching for Detr Object Detection
38:04 Matching Strategy and Cost for Detr explained
42:57 DETR(Detection transformer) Loss Explained
45:27 Auxiliary Loss in DETR
46:58 DETR Video’s Part I and Part II Outline
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