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
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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
Shot Boundary Detection Based on Global Features and the Target Features
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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