Articles in this series
Understand the pivotal computer vision task of object detection by seeing how one of the most popular models—YOLO— works.
An overview of the top object detection algorithms.
YOLOR and YOLOX are two new object detection models that aim to solve different limitations of the existing SOTA model.
YOLOR, You Only Learn One Representation, is a state-of-the-art object detection model that is 88% faster than Scaled-YOLOV4 and 3.8% more accurate than PP-YOLOV2. This makes it the best YOLO variant to date. YOLOR has a unified network that models h...
Transformers have established their importance in natural language processing (NLP), their ability to learn a general language representation and transfer it to specific tasks has made them invaluable. And with the advent of Vision Transformer (ViT)...
