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
Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-024-02071-1
Abstract: Access to large image volumes through camera traps and crowdsourcing provides novel possibilities for animal monitoring and conservation. It calls for automatic methods for analysis, in particular, when re-identifying individual animals from the images. Most… read more here.
Keywords: animal identification; patterned animal; agnostic patterned; local features ... See more keywords
Clamp forming of local features on sheet metals
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Materials Processing Technology"
DOI: 10.1016/j.jmatprotec.2019.116331
Abstract: Abstract Some local features usually have to be formed on the sheet metal parts for further usage, e.g. assembly. Stamping has been extensively applied to form the local features, but in an inconvenient and inefficient… read more here.
Keywords: sheet metal; force; features sheet; local features ... See more keywords
GLNNMDA: a multimodal prediction model for microbe-drug associations based on global and local features
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-71837-x
Abstract: Microbes have been demonstrated to be closely linked to diseases that pose a major threat to human health. Computing technologies can help researchers find potential microbe-drug associations more quickly and precisely. In this study, we… read more here.
Keywords: drug associations; global local; drug; prediction ... See more keywords
Vision‐based road slope estimation methods using road lines or local features from instant images
Sign Up to like & getrecommendations! Published in 2019 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2018.5479
Abstract: In this study, the authors study lateral and longitudinal road slope estimation, which are important parameters to control a vehicle laterally in lane-keeping assistance and longitudinally in adaptive cruise control, respectively. They present three methods… read more here.
Keywords: road; slope; road lines; local features ... See more keywords
Face Recognition Using Composite Features Based on Discriminant Analysis
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2812725
Abstract: Extracting holistic features from the whole face and extracting the local features from the sub-image have pros and cons depending on the conditions. In order to effectively utilize the strengths of various types of holistic… read more here.
Keywords: face recognition; local features; composite features; face ... See more keywords
Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192605
Abstract: The semantic segmentation task aims at dense classification at the pixel-wise level. Deep models exhibited progress in tackling this task. However, one remaining problem with these approaches is the loss of spatial precision, often produced… read more here.
Keywords: segmentation; local features; gaussian mixture; global local ... See more keywords
Matrix Completion Based on Low-Rank and Local Features Applied to Images Recovery and Recommendation Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204660
Abstract: Recent advances have shown that the challenging problem of matrix completion arises from real-world applications, such as image recovery, and recommendation systems. Existing matrix completion methods utilize the low-rank property of sparse matrices to fill… read more here.
Keywords: matrix completion; local features; completion; low rank ... See more keywords
Progressive Network Grafting With Local Features Embedding for Few-Shot Knowledge Distillation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218890
Abstract: Compared with traditional knowledge distillation, which relies on a large amount of data, few-shot knowledge distillation can distill student networks with good performance using only a small number of samples. Some recent studies treat the… read more here.
Keywords: network; local features; knowledge distillation; block ... See more keywords
A Novel Technique Solving Shortages of Low-Concentration Samples of Electronic Nose Based on Global and Local Features Fusion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.2998821
Abstract: Low-concentration samples play an important role in the training of the electronic nose (E-nose), while low-concentration samples are difficult to obtain because of the limited accuracy of sensor detection, and the confect precision of low-concentration… read more here.
Keywords: electronic nose; local features; concentration samples; concentration ... See more keywords
Visual Geo-Localization Based on Pretrained Models With Global and Local Features
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3609308
Abstract: Visual geo-localization is a critical task of the geolocation field, aiming to match query images with a large database of images from diverse locations. Recent research has shown that pretrained models for general visual learning… read more here.
Keywords: pretrained models; visual geo; local features; geo localization ... See more keywords