Attention Mechanisms in Computer Vision: CBAM
This post covers an in-depth analysis of the Convolution Block Attention Module (CBAM) with a short introduction to Visual Attention Mechanisms.
5 years ago
Computer Vision
Fighting Coronavirus with AI, Part 2: Building a CT Scan COVID-19 Classifier Using PyTorch
Using PyTorch, we create a COVID-19 classifier that predicts whether a patient is suffering from coronavirus or not, using chest CT scans of different patients.
5 years ago
How to Improve YOLOv3
YOLO has been a very popular and fast object detection algorithm, but unfortunately not the best-performing. In this article I will highlight simple training heuristics and small architectural changes that can make YOLOv3 perform better than models like Faster R-CNN and Mask R-CNN.
5 years ago
Understanding GauGAN Part 4: Debugging Training & Deciding If GauGAN Is Right For You
In this post we cover how to tackle common training issues that may arise with GauGAN. We conclude with advice on whether GauGAN will fit your business needs or not.
6 years ago
Understanding GauGAN Part 3: Model Evaluation Techniques
In Part 3 of the GauGAN series we cover how to evaluate model performance, and how GauGAN compares to models like Pix2PixHD, SIMS, and CRN.
6 years ago
Image Captioning With AI
In this tutorial we'll break down how to develop an automated image captioning system step-by-step using TensorFlow and Keras.
6 years ago
Understanding GauGAN Part 2: Training on Custom Datasets
In this article we cover how to train GauGAN on your own custom dataset. This is part of a series on Nvidia GauGANs.
6 years ago
Understanding GauGAN Part 1: Unraveling Nvidia's Landscape Painting GANs
In this article we explain what GauGANs are, and how their architecture and objective functions work. This is part of a series on Nvidia GauGANs.
6 years ago
A 2020 Guide to Synthetic Media
From deepfakes and virtual celebrities to "fake news," we'll cover popular cases of media synthesis and the research publications detailing how it's done.
6 years ago
