What is Self-supervised Learning? — Self-supervised Learning is an unsupervised learning method where the supervised learning task is created out of the unlabelled input data. This task could be as simple as given the upper-half of the image, predict the lower-half of the same image, or given the grayscale version of the colored image, predict…

Augment your data with fisheye view in pytorch — In recent years, deep learning has made tremendous progress in developing systems that can learn from carefully labelled data. But, the deep learning models are very data-hungry and requires a massive amount of labels for training and getting a huge number of labels is challenging depending upon the nature of…

Lately, Self-supervised learning methods have become the cornerstone for unsupervised visual representation learning. One such method Bootstrap Your Own Latent(BYOL) which is introduced recently is reviewed in this post. I have already covered other interesting self-supervised learning methods based on contrastive learning that came before BYOL such as SimCLR, MoCo…

With several advancements in Deep Learning, complex networks such as giant transformer networks, wider and deeper Resnets, etc. have evolved which keeps a larger memory footprint. More often than not, while training these networks, deep learning practitioners need to use multiple GPUs to train them efficiently. …

Objects In Mirror Are Closer Than They Appear — “Objects In Mirror Are Closer Than They Appear”. I am sure, most of you, would have seen this disclaimer. Ever Wondered Why? Read along to find out! Due to several advancements in camera technology, cameras are capable of clicking shots at various angles and views. Different angles for instance high-angle…