Interpretable Fine‐Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202403547
Abstract: Uncovering fine‐grained phenotypes of live cell dynamics is pivotal for a comprehensive understanding of the heterogeneity in healthy and diseased biological processes. However, this endeavor poses significant technical challenges for unsupervised machine learning, requiring the… read more here.
Keywords: deep learning; grained phenotypes; fine grained; heterogeneity ... See more keywords
Research on Fine‐Grained Phenotypic Analysis of Temporal Root Systems – Improved YoloV8seg Applied for Fine‐Grained Analysis of In Situ Root Temporal Phenotypes
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202408144
Abstract: Root systems are crucial organs for crops to absorb water and nutrients. Conducting phenotypic analysis on roots is of great importance. To date, methods for root system phenotypic analysis have predominantly focused on semantic segmentation,… read more here.
Keywords: root; situ root; analysis; fine grained ... See more keywords
Bin similarity‐based domain adaptation for fine‐grained image classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22775
Abstract: Fine‐grained classification tasks are challenging because fine‐grained data sets are quite scarce. Thus, we utilized the domain adaptation method to migrate knowledge from large, labeled data sets to fine‐grained target data sets. We employed the… read more here.
Keywords: domain adaptation; classification; domain; fine grained ... See more keywords
Toward fine‐grained access control and privacy protection for video sharing in media convergence environment
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22810
Abstract: Video streaming applications are rapidly proliferating, allowing users to browse, download, and share videos through platforms such as YouTube, Netflix, and Amazon. Media content providers are required to register copyrights on digital platforms. With the… read more here.
Keywords: video sharing; grained access; toward fine; fine grained ... See more keywords
FG-UNet: fine-grained feature-guided UNet for segmentation of weeds and crops in UAV images.
Sign Up to like & getrecommendations! Published in 2024 at "Pest management science"
DOI: 10.1002/ps.8489
Abstract: BACKGROUND Semantic segmentation of weed and crop images is a key component and prerequisite for automated weed management. For weeds in unmanned aerial vehicle (UAV) images, which are usually characterized by small size and easily… read more here.
Keywords: feature guided; segmentation; grained feature; fine grained ... See more keywords
Can macroinvertebrate biological traits indicate fine-grained sediment conditions in streams?
Sign Up to like & getrecommendations! Published in 2017 at "River Research and Applications"
DOI: 10.1002/rra.3194
Abstract: Excessive inputs of fine-grained sediment can damage aquatic ecosystems both by degrading habitat condition and by directly impairing biota. Recent research has improved our understanding of how benthic macroinvertebrates respond to fine-grained sediment stress, leading… read more here.
Keywords: fine sediment; grained sediment; fine grained; macroinvertebrate biological ... See more keywords
Controls on development of different mineral assemblages in gabbro and basalt during subduction metamorphism
Sign Up to like & getrecommendations! Published in 2020 at "Contributions to Mineralogy and Petrology"
DOI: 10.1007/s00410-020-01753-6
Abstract: Coexisting fine-grained (meta-volcanic) and coarse-grained (meta-plutonic) mafic rocks in a high-pressure (P)/low-temperature (T) complex (Sivrihisar, Turkey) preserve different prograde, peak, and retrograde mineral assemblages, providing an opportunity to evaluate controls on mineral assemblages in metabasites… read more here.
Keywords: mineral; fine grained; h2o content; mineral assemblages ... See more keywords
Fine-grained entity type classification with adaptive context
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2963-2
Abstract: Natural language processing (NLP) is the technology that enables machine to process human language. Entity recognition is one of the most basic tasks in NLP. It aims to identify and classify the name of each… read more here.
Keywords: entity type; fine grained; entity; type classification ... See more keywords
Ranking-based triplet loss function with intra-class mean and variance for fine-grained classification tasks
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04880-1
Abstract: This paper proposed a deep ranking model for triplet selection to efficiently learn similarity metric from top ranked images. A modified distance criterion described in the current work leverages the intra-category variance in metric learning… read more here.
Keywords: triplet; fine grained; loss function; variance ... See more keywords
Mechanical behavior of fine-grained sandstone in triaxial compression and elastoplastic modeling by return mapping algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Bulletin of Engineering Geology and the Environment"
DOI: 10.1007/s10064-017-1094-4
Abstract: The study is devoted to the strength and deformation behavior of fine-grained sandstone. A series of triaxial compression tests were conducted on rock samples under various confining pressures (3, 5, 10, 15, and 20 MPa) in… read more here.
Keywords: triaxial compression; behavior fine; fine grained; grained sandstone ... See more keywords
CEKD:Cross ensemble knowledge distillation for augmented fine-grained data
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-022-03355-0
Abstract: Data augmentation has been proved effective in training deep models. Existing data augmentation methods tackle finegrained problem by blending image pairs and fusing corresponding labels according to the statistics of mixed pixels, which produces additional… read more here.
Keywords: knowledge distillation; distillation; ensemble knowledge; fine grained ... See more keywords