PinnedLeon SickinTowards Data ScienceFrom Supervised To Unsupervised Learning: A Paradigm Shift In Computer VisionSlowly removing the injection of human knowledge from the training processJan 1, 20221Jan 1, 20221
Leon SickinTowards Data SciencePaper explained: Exploring Plain Vision Transformer Backbones for Object DetectionThe power of ViTs as object detection backbonesNov 20, 20221Nov 20, 20221
Leon SickinTowards Data SciencePaper explained: Pushing The Limits Of Self-Supervised ResNets: Can We Outperform Supervised…Exploring the novel approaches in ReLICv2Feb 26, 20221Feb 26, 20221
Leon SickinTowards Data SciencePaper explained: Momentum Contrast for Unsupervised Visual Representation LearningGoing over the principles from the MoCo v1 & v2 papersJan 10, 2022Jan 10, 2022
Leon SickinTowards Data SciencePaper explained: Masked Autoencoders Are Scalable Vision LearnersHow reconstructing masked parts of an image can be beneficialDec 29, 20212Dec 29, 20212
Leon SickinTowards Data ScienceTwo Simple Ways To Measure Your Model’s UncertaintyThe key to better understanding your model’s predictionsDec 28, 20211Dec 28, 20211
Leon SickinTowards Data SciencePaper explained: Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View…Taking advantage of labeled support samples for semi-supervised learningDec 20, 2021Dec 20, 2021
Leon SickinTowards Data ScienceHow Well Does Self-Supervised Learning Perform In The Real World?Pre-training a model on random internet images instead of ImageNetDec 15, 2021Dec 15, 2021
Leon SickinTowards Data ScienceRegNet: The Most Flexible Network Architecture For Computer VisionA model design that scales for high-efficiency or high-accuracyDec 13, 20211Dec 13, 20211
Leon SickinTowards Data SciencePaper explained: A Simple Framework for Contrastive Learning of Visual RepresentationsGoing over the ideas presented in the SimCLR paperDec 9, 20213Dec 9, 20213