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Leon Sick

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Leon Sick
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Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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

Leon Sick
in
Towards Data Science

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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