Semantic Analysis Guide to Master Natural Language Processing Part 9
He studied metallurgical and materials engineering at the National Institute of Technology Trichy, India, and enjoys researching new trends and algorithms in deep learning. In semantic segmentation, our aim is to extract features before using them to separate the image into multiple segments. Semantic Segmentation often requires the extraction of features and representations, which can derive meaningful correlation of the input image, essentially removing the noise. Once keypoints are estimated for a pair of images, they can be used for various tasks such as object matching.
Along with services, it also improves the overall experience of the riders and drivers...
Dettagli