Pedestrian recognition in multi-camera networks based on deep transfer learning and feature visualization
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.07.063
Abstract: Abstract The extensive deployment of surveillance cameras in public places, such as subway stations and shopping malls, necessitates automated visual-data processing approaches to match pedestrians across non-overlapping multiple cameras. However, due to the insufficient number… read more here.
Keywords: feature; pedestrian recognition; feature visualization; camera ... See more keywords
Learning local descriptors with multi-level feature aggregation and spatial context pyramid
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.07.030
Abstract: Abstract Despite that efforts have shifted to learning local descriptors with convolutional neural network (CNN) from hand-crafted realm, the inherent feature hierarchy within CNN has been rarely explored. To increase both the invariant and discriminative… read more here.
Keywords: local descriptors; feature; learning local; level feature ... See more keywords
Psychophysical evaluation of individual low-level feature influences on visual attention
Sign Up to like & getrecommendations! Published in 2019 at "Vision Research"
DOI: 10.1016/j.visres.2018.10.006
Abstract: ABSTRACT In this study we provide the analysis of eye movement behavior elicited by low‐level feature distinctiveness with a dataset of synthetically‐generated image patterns. Design of visual stimuli was inspired by the ones used in… read more here.
Keywords: psychophysical evaluation; level feature; low level; feature ... See more keywords
Mid-Level Feature Representation via Sparse Autoencoder for Remotely Sensed Scene Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2621011
Abstract: Feature representation is a classic problem in the machine learning community due to the fact that different representations can entangle and hide more or less the different explanatory factors of variation behind the raw data.… read more here.
Keywords: scene classification; feature; feature representation; level feature ... See more keywords
Low-Level Feature Enhancement Network for Semantic Segmentation of Buildings
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3173626
Abstract: In recent years, convolutional neural networks (CNNs) have been widely used in extracting buildings from remote sensing images. Both semantic representation and spatial location details are crucial for this task. We propose the methods to… read more here.
Keywords: low level; level feature; semantic segmentation;
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2955557
Abstract: Due to the large intraclass variances and complicated object distribution, recognizing objects with complex appearances and arbitrary orientations has been an active research topic and a challenging task in remote sensing fields. In this article,… read more here.
Keywords: level feature; high level; object recognition;
MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3220057
Abstract: Since the superpixel segmentation method aggregates pixels based on similarity, the boundaries of some superpixels indicate the outline of the object and the superpixels provide prerequisites for learning structural-aware features. It is worthwhile to research… read more here.
Keywords: network; level feature; superpixel priors; feature ... See more keywords
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2022.3192663
Abstract: Recently, the compression and deployment of powerful deep neural networks (DNNs) on resource-limited edge devices to provide intelligent services have become attractive tasks. Although knowledge distillation (KD) is a feasible solution for compression, its requirement… read more here.
Keywords: data free; feature sharing; level feature; multi level ... See more keywords
A Simple and Effective Approach Based on a Multi-Level Feature Selection for Automated Parkinson’s Disease Detection
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12010055
Abstract: Parkinson’s disease (PD), which is a slowly progressing neurodegenerative disorder, negatively affects people’s daily lives. Early diagnosis is of great importance to minimize the effects of PD. One of the most important symptoms in the… read more here.
Keywords: feature; disease; approach; feature selection ... See more keywords