Deformable DETR

The content is also available as text: https://github.com/adensur/blog/blob/... This video is part of my "Modern Object Detection: from YOLO to transformers" series:    • Modern Object Detection: from YOLO to tran...   It talks about Deformable Detr - recent development, originated in 2021, that adds to the foundation of the tricks of the trade that are used in most modern transformer-based object detection models. Useful links: Deformable Convolution paper, 2017: https://arxiv.org/pdf/1703.06211.pdf Deformable Detr paper, 2021: https://arxiv.org/pdf/2010.04159.pdf My previous video about DETR:    • Object Detection with Transformers (DETR)   00:00 - Introduction 01:27 - Deformable Convolutions 05:20 - Deformable Convolutions: Offset Prediction 07:50 - Deformable Convolutions: Bilinear Interpolation 12:24 - Deformable Convolutions: Results 14:33 - Deformable Attention 17:06 - Deformable Self-Attention 19:32 - Deformable Cross-Attention 24:27 - MultiScale Deformable Attention 29:04 - Results & Next Up

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Reading Deformable DETR source code
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Reading Deformable DETR source code

DINO - DETR with Improved DeNoising AnchorBoxes for End-to-End Object Detection
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DINO - DETR with Improved DeNoising AnchorBoxes for End-to-End Object Detection

Why Does Diffusion Work Better than Auto-Regression?
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Why Does Diffusion Work Better than Auto-Regression?

Обзор архитектуры Detection Transformer (DETR)
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Обзор архитектуры Detection Transformer (DETR)

Object Detection with Transformers (DETR)
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Object Detection with Transformers (DETR)

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training
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Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

How Attention Mechanism Works in Transformer Architecture
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How Attention Mechanism Works in Transformer Architecture

Attention in transformers, step-by-step | Deep Learning Chapter 6
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Attention in transformers, step-by-step | Deep Learning Chapter 6

MAMBA and State Space Models explained | SSM explained
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MAMBA and State Space Models explained | SSM explained

OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed
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OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed

RT DETR - realtime object detection with transformers
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RT DETR - realtime object detection with transformers

Diffusion Models (DDPM & DDIM) - Easily explained!
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Diffusion Models (DDPM & DDIM) - Easily explained!

AlphaFold - The Most Useful Thing AI Has Ever Done
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AlphaFold - The Most Useful Thing AI Has Ever Done

DAB Detr (dynamic anchor boxes)
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DAB Detr (dynamic anchor boxes)

DN Detr (Denoising Detr for object detection)
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DN Detr (Denoising Detr for object detection)

LLMs Don't Need More Parameters. They Need Loops.
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LLMs Don't Need More Parameters. They Need Loops.

CoDETR - SOTA object detection with transformers
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CoDETR - SOTA object detection with transformers

DETR: End-to-End Object Detection with Transformers (Paper Explained)
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DETR: End-to-End Object Detection with Transformers (Paper Explained)

Latent Space Visualisation: PCA, t-SNE, UMAP | Deep Learning Animated
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Latent Space Visualisation: PCA, t-SNE, UMAP | Deep Learning Animated

Yann LeCun's $1B Bet Against LLMs [Part 1]
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Yann LeCun's $1B Bet Against LLMs [Part 1]