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Leon Sick

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From Supervised To Unsupervised Learning: A Paradigm Shift In Computer Vision

Slowly removing the injection of human knowledge from the training process

Jan 1, 2022

From Supervised To Unsupervised Learning: A Paradigm Shift In Computer Vision

Jan 1, 2022

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Paper explained: Exploring Plain Vision Transformer Backbones for Object Detection

The power of ViTs as object detection backbones

Nov 20, 2022

Paper explained: Exploring Plain Vision Transformer Backbones for Object Detection

Nov 20, 2022

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Paper explained: Pushing The Limits Of Self-Supervised ResNets: Can We Outperform Supervised…

Exploring the novel approaches in ReLICv2

Feb 26, 2022

Paper explained: Pushing The Limits Of Self-Supervised ResNets: Can We Outperform Supervised…

Feb 26, 2022

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Paper explained: Momentum Contrast for Unsupervised Visual Representation Learning

Going over the principles from the MoCo v1 & v2 papers

Jan 10, 2022

Paper explained: Momentum Contrast for Unsupervised Visual Representation Learning

Jan 10, 2022

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Paper explained: Masked Autoencoders Are Scalable Vision Learners

How reconstructing masked parts of an image can be beneficial

Dec 29, 2021

Paper explained: Masked Autoencoders Are Scalable Vision Learners

Dec 29, 2021

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Two Simple Ways To Measure Your Model’s Uncertainty

The key to better understanding your model’s predictions

Dec 28, 2021

Two Simple Ways To Measure Your Model’s Uncertainty

Dec 28, 2021

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Paper explained: Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View…

Taking advantage of labeled support samples for semi-supervised learning

Dec 20, 2021

Paper explained: Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View…

Dec 20, 2021

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How Well Does Self-Supervised Learning Perform In The Real World?

Pre-training a model on random internet images instead of ImageNet

Dec 15, 2021

How Well Does Self-Supervised Learning Perform In The Real World?

Dec 15, 2021

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RegNet: The Most Flexible Network Architecture For Computer Vision

A model design that scales for high-efficiency or high-accuracy

Dec 13, 2021

RegNet: The Most Flexible Network Architecture For Computer Vision

Dec 13, 2021

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Paper explained: A Simple Framework for Contrastive Learning of Visual Representations

Going over the ideas presented in the SimCLR paper

Dec 9, 2021

Paper explained: A Simple Framework for Contrastive Learning of Visual Representations

Dec 9, 2021

Leon Sick

Leon Sick

PhD Student @ Ulm University | Computer Vision Research for Perception & Data Generation | Support my writing: https://medium.com/@leon.sick/membership

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