u-net

CellStrat > Research/Blog > u-net
14
Feb
Semantic Image Segmentation

Semantic Image Segmentation refers to pixelwise classification of objects in images. This is different from object detection, which merely answers if a certain image contains a particular object or not ? Interested in pursuing advanced training and research in Deep Learning areas such as Computer Vision, NLP and Reinforcement Learning ? If yes, then join […]

Posted in: Computer Vision, Deep Learning,
Tags: artificial intelligence, Computer Vision, deep learning, FCN, fully convolutional network, pixelwise classification, SegNet, semantic image segmentation, transpose convolution, u-net,
30
Jan
CellStrat AI Lab – Minutes from 29th Jan 2019 BLR Meetup

The AI Lab group continues to grow and more and more cutting-edge areas of Artificial Intelligence and Machine Learning are being researched and worked on. In this meetup, the AI Lab teams discussed :- Semantic Image Segmentation with the U-Net architecture U-Nets are one kind of Encoder-Decoder Architecture to solve Semantic Image Segmentation. This architecture […]

Posted in: Computer Vision, Deep Learning, Natural Language Processing,
Tags: ANNs, CNNs, Computer Vision, deep conversational recommender, deep learning, recommendation systems, semantic segmentation, u-net,