Global surface features contribute to human haptic roughness estimations
Sign Up to like & getrecommendations! Published in 2022 at "Experimental Brain Research"
DOI: 10.1007/s00221-021-06289-0
Abstract: Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear.… read more here.
Keywords: local features; haptic roughness; roughness; roughness estimations ... See more keywords
Information-theoretic regularization for learning global features by sequential VAE
Sign Up to like & getrecommendations! Published in 2021 at "Machine Learning"
DOI: 10.1007/s10994-021-06032-4
Abstract: Sequential variational autoencoders (VAEs) with a global latent variable z have been studied for disentangling the global features of data, which is useful for several downstream tasks. To further assist the sequential VAEs in obtaining… read more here.
Keywords: information; sequential vaes; global features; information theoretic ... See more keywords
Learning Multi-Scale Features and Batch-Normalized Global Features for Person Re-Identification
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DOI: 10.1109/access.2020.3029594
Abstract: In recent years, person re-identification based on deep learning approaches has made great progress and achieved good results. However, many of the latest network design methods, which usually deploy ResNet or SENet as the backbone… read more here.
Keywords: global features; person identification; multi scale; network ... See more keywords
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features
Sign Up to like & getrecommendations! Published in 2024 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2024.3387913
Abstract: CircRNA has been shown to be involved in the occurrence of many diseases. Several computational frameworks have been proposed to identify circRNA-disease associations. Despite the existing computational methods have obtained considerable successes, these methods still… read more here.
Keywords: circrna disease; local global; global features; disease associations ... See more keywords
Forest Wildfire Detection from Images Captured by Drones Using Window Transformer without Shift
Sign Up to like & getrecommendations! Published in 2024 at "Forests"
DOI: 10.3390/f15081337
Abstract: Cameras, especially those carried by drones, are the main tools used to detect wildfires in forests because cameras have much longer detection ranges than smoke sensors. Currently, deep learning is main method used for fire… read more here.
Keywords: detection; global features; shift; window transformer ... See more keywords
Shot Boundary Detection Based on Global Features and the Target Features
Sign Up to like & getrecommendations! Published in 2023 at "Symmetry"
DOI: 10.3390/sym15030565
Abstract: Video processing plays an important role in the intelligent monitoring and management system of agricultural information. Video shot boundary detection is the basic symmetry step underlying video processing techniques. According to the current shot boundary… read more here.
Keywords: target features; global features; detection; boundary detection ... See more keywords