Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li ArXiv link — https://arxiv.org/abs/1812.01187 Contributions In this paper — the authors examine a collection of training procedure and model architecture refinements and empirically evaluate their impact on the final model accuracy via ablation study. these tricks introduce minor modifications…

Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko ArXiv link — https://arxiv.org/abs/2005.12872 Contributions In this paper — the authors present DETR — an object detection method based on transformers and bipartite matching loss that views the problem as a direct set prediction problem. their…

Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh ArXiv link — https://arxiv.org/abs/1902.09967 Research Problem Data plays an important role in the performance of a machine learning model. Availability of domain specific datasets is a problem and often data needs to be collected and labelled manually — which is time consuming…

Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel — ArXiv link — https://arxiv.org/abs/1911.01702 Research problem The paper focusing on the problem of document layout analysis. Parsing a document’s rendering into a machine readable hierarchical structure is a major part of many applications. …

Brief write up focused on giving an overview of the traditional and deep learning techniques for feature extraction — Feature Extraction is an important technique in Computer Vision widely used for tasks like: Object recognition Image alignment and stitching (to create a panorama) 3D stereo reconstruction Navigation for robots/self-driving cars and more… What are features? Features are parts or patterns of an object in an image that help to identify it. For…

You might have spent countless hours tuning your hyper-parameters, observing the performance metrics and run-time of your machine learning model, and when you want to go back to your previous iterations, you just can’t get the hyperparameter or some other configuration right to recreate the results. As a researcher, it’s…

“Eigen” — Word’s origin “Eigen” is a German word which means “own”, “proper” or “characteristic”. What are Eigenvectors and Eigenvalues? Let’s have a look at what Wikipedia has to say about Eigenvectors and Eigenvalues: If T is a linear transformation from a vector space V over a field F into itself and v is a vector in V that…

The goal of this post is to serve as a introduction to basic concepts involved in a convolution neural network. …

The goal of this post is to implement a CNN to classify MNIST handwritten digit images using PyTorch. This post is a part of a 2 part series on introduction to convolution neural network (CNN). Part 1 — Basic concepts revolving around CNNs Part 2 — Pytorch Implementation of a…