Domain generalization for semantic segmentation aims to learn pixel-level semantic labels from multiple source domains and generalize to predict pixel-level semantic labels on multiple unseen target domains. In this survey, for the first time, we present a comprehensive review of DG for semantic ...
Domain generalization for semantic segmentation aims to learn pixel-level semantic labels from multiple source domains and generalize to predict pixel-level semantic labels on multiple unseen target domains. In this survey, for the first time, we present a comprehensive review of DG for semantic ...
Review of Image Segmentation Techniques: A Survey Image segmentation is a relevant research area in Computer Vision and hundreds of segmentation algorithms have been proposed in the last 30 years. Image segmentation is a mechanism used to divide an image into multiple segments. The main... KK Rah...
VLP: A Survey on Vision-language Pre-training 2023, Machine Intelligence Research Convolutional Neural Networks in Computer Vision for Grain Crop Phenotyping: A Review 2022, Agronomy RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images ...
摘要: During the long history of computer vision, one of the grand challenges has been semantic segmentation which is the ability to segment an unknown image into different parts and objects (e.g., beach, o关键词: Image segmentation Computer vision Deep learning Convolutional neural networks ...
The deep learning technology has shown impressive performance in various vision tasks such as image classification, object detection and semantic segmentation. In particular, recent advances of deep learning techniques bring encouraging performance to fine-grained image classification which aims to distinguish...
Semantic segmentation plays a crucial role in interpreting remote sensing images, especially in high-resolution scenarios where finer object details, complex spatial information and texture structures exist. To address the challenge of better extracting
以及A survey of semantic segmentation,2016 应用:autonomous driving ,human-machine interaction , computational photography , image search engines , augmented reality Section 2.术语,背景知识 Section 3.数据集、挑战和基准 Section 4.现有方法及其贡献的综述(定性分析,从简单到复杂) ...
A Review on Deep Learning Techniques Applied to Semantic Segmentation arXiv 2017 [paper]Survey of Recent Progress in Semantic Image Segmentation with CNNs SCIS 2018 [paper]Survey on Semantic Segmentation Using Deep Learning Techniques Neurocomputing 2019 [paper]...
Liu et al. [26] discussed various technologies related to semantic communications, including semantic extraction, semantic coding, and semantic segmentation. They also provided a summary of solutions aimed at enhancing the efficiency, robustness, adaptability, and reliability of semantic communications. ...