Semantic image segmentation is a crucial task in various fields that use computer-vision based applications. Generative Adversarial Networks (GANs) are attracting widespread interest in the data ...

The most commonly used neural network architecture to deal with Semantic Segmentation was the Convolutional Neural Network (CNN). Even though some works made use of Recurrent Neural Network (RNN), the ...

Semantic segmentation, which tries to give a semantic category to each pixel, has gotten a lot of interest in the last decade as one of the most fundamental research areas in computer vision. From ...

Conducting Semantic Segmentation on camera data offers a comprehensive view, aiding tasks like object detection and scene understanding in applications like autonomous driving and surveillance. We ...

Semantic segmentation is a fundamental task in image processing and computer vision domains. Therefore, it is a core component of most emerging industry applications such as medical imaging, ...