PinnedCenk BircanogluPaper Review: Deconstructing Denoising Diffusion Models for Self-Supervised LearningPaper LinkJan 30Jan 30
PinnedCenk BircanogluStep-by-step Implementation of Vision Transformers in PyTorchInitially, this post was created as a Jupyter Notebook, and both the notebook and the related repository are accessible on Git.Jan 29Jan 29
PinnedCenk BircanogluPaper Review: The effectiveness of MAE pre-pretraining for billion-scale pretrainingPaper link , Code and WebsiteJan 27Jan 27
PinnedCenk BircanogluPaper Review: Masked Autoencoders Are Scalable Vision LearnersPaper Link, Code and DemoJan 281Jan 281
Cenk BircanogluPaper Review: Deformable Transformers for End-to-End Object Detection.Paper, CodeFeb 3Feb 3
Cenk BircanogluFrom Fixed to Flexible: Harnessing Deformable Attention for Enhanced LearningThis blog post will dig into the details of attention mechanisms, the foundation for understanding how machines pick and choose what…Feb 3Feb 3
Cenk BircanogluPaper/Code Review: End-to-End Object Detection with TransformersPaper Official CodeFeb 11Feb 11
Cenk BircanogluReview of Deep Learning Architectures for Image Classification Problem (Part 4)In this blog post, I added my notes on MobileNet and its versions.Jan 21, 2022Jan 21, 2022
Cenk BircanogluReview of Deep Learning Architectures for Image Classification Problem (Part 3)In this blog post, I added my notes on Wide-ResNet, ShuffleNet, ResNeXt and Xception networks.Jan 19, 2022Jan 19, 2022
