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Deep Learning for Computer Vision

Week 1: Image Formation and Representation
Week 2: Feature Detection and Description
Week 3: Neural Networks
Week 4: Convolutional Neural Networks
Week 5: CNN Architectures, Finetuning and Visualization
Week 6: Object Detection and Segmentation
Week 7: Recurrent Neural Networks
Week 8: Attention and Transformers
Week 9: Vision Transformers
Week 10: Deep Generative Models
Week 11: Diffusion Models
Week 12: Self-Supervised and Vision-Language Models

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Week 9: Vision Transformers

Contents

Lectures

Week 9: Vision Transformers#

From transformers to vision transformers, and their use for detection and segmentation.

Lectures#

From Transformers to Vision Transformers
Transformers for Detection
Transformers for Segmentation

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Week 8, Lecture 4: Self-Attention and Transformers

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Week 9, Lecture 1: From Transformers to Vision Transformers

Contents

Lectures

By Prof. Vineeth N Balasubramanian, IIT Hyderabad

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