PinnedPaper Review: Deconstructing Denoising Diffusion Models for Self-Supervised LearningPaper LinkJan 30, 2024Jan 30, 2024
PinnedStep-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 29, 2024Jan 29, 2024
PinnedPaper Review: The effectiveness of MAE pre-pretraining for billion-scale pretrainingPaper link , Code and WebsiteJan 27, 2024Jan 27, 2024
PinnedPaper Review: Masked Autoencoders Are Scalable Vision LearnersPaper Link, Code and DemoJan 28, 20241Jan 28, 20241
Paper Review: Deformable Transformers for End-to-End Object Detection.Paper, CodeFeb 3, 2024Feb 3, 2024
From 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 3, 2024Feb 3, 2024
Paper/Code Review: End-to-End Object Detection with TransformersPaper Official CodeFeb 1, 20241Feb 1, 20241
Review 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
Review 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
