Semantic image segmentation algorithm in a deep learning computer network
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DOI: 10.1007/s00530-020-00678-1
Abstract: Semantic image segmentation in computer networks is designed to determine the category to which each pixel in an image belongs. It is a basic computer vision task and has a very wide range of applications… read more here.
Keywords: image; segmentation; semantic image; image segmentation ... See more keywords
Recent progress in semantic image segmentation
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DOI: 10.1007/s10462-018-9641-3
Abstract: Semantic image segmentation, which becomes one of the key applications in image processing and computer vision domain, has been used in multiple domains such as medical area and intelligent transportation. Lots of benchmark datasets are… read more here.
Keywords: image; segmentation; semantic image; image segmentation ... See more keywords
Semantic Image Networks for Human Action Recognition
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DOI: 10.1007/s11263-019-01248-3
Abstract: In this paper, we propose the use of a semantic image, an improved representation for video analysis, principally in combination with Inception networks. The semantic image is obtained by applying localized sparse segmentation using global… read more here.
Keywords: action recognition; network; semantic image; recognition ... See more keywords
Forest: A Lightweight Semantic Image Descriptor for Robust Visual Place Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3219030
Abstract: Visual place recognition (VPR) is the process of identifying previously visited places using visual information. It is crucial for a robot to achieve fast and accurate VPR under appearance and viewpoint changes. Inspired by human… read more here.
Keywords: semantic image; lightweight semantic; descriptor; visual place ... See more keywords
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments
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DOI: 10.1109/tcyb.2018.2846760
Abstract: Images are uploaded to the Internet over time which makes concept drifting and distribution change in semantic classes unavoidable. Current hashing methods being trained using a given static database may not be suitable for nonstationary… read more here.
Keywords: hash; hash bit; image; image retrieval ... See more keywords
Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3210085
Abstract: Semantic image synthesis, translating semantic layouts to photo-realistic images, is a one-to-many mapping problem. Though impressive progress has been recently made, diverse semantic synthesis that can efficiently produce semantic-level or even instance-level multimodal results, still… read more here.
Keywords: semantic image; diverse semantic; synthesis; instance ... See more keywords
Semantic Image Segmentation with Deep Convolutional Neural Networks and Quick Shift
Sign Up to like & getrecommendations! Published in 2020 at "Symmetry"
DOI: 10.3390/sym12030427
Abstract: Semantic image segmentation, as one of the most popular tasks in computer vision, has been widely used in autonomous driving, robotics and other fields. Currently, deep convolutional neural networks (DCNNs) are driving major advances in… read more here.
Keywords: image; segmentation; semantic image; image segmentation ... See more keywords