This article discusses the importance of semantic segmentation in various applications, such as image manipulation, healthcare, and autonomous vehicles. It also highlights the recent…
Browsing: Semantic Segmentation
This article discusses the creation of a large-scale, high-precision semantic segmentation dataset for props in Chinese martial arts movie clips, named ChineseMPD. The dataset…
Apple has contributed 20 new Core Machine Learning models and datasets to the open-source AI repository Hugging Face, including ones for image classification and…
Semantic segmentation has become a popular area of research in image processing and computer vision, with deep learning models such as CNNs and GANs…
This article discusses recent advancements in agricultural computer vision, which have heavily relied on deep learning models. The article highlights the inadequacy of existing…
This paper presents RescueNet, a high-resolution post-disaster dataset that includes detailed classification and semantic segmentation annotations. This dataset aims to facilitate comprehensive scene understanding…
Semantic segmentation in computer vision is a rapidly advancing field that involves the process of dividing an image into meaningful parts and classifying each…
This Special Issue is intended to present scholarly papers that address the efficient robotic object perception problem from the perspective of lifelong machine learning.…
Subsurface stratigraphic modeling is essential for a variety of environmental, societal, and economic challenges. However, the need for specific sedimentological skills in sediment core…
This study demonstrates the application of the DeepLab v3+ -based deep learning model for the automatic segmentation of fragments of the fractured tibia and fibula…