A Hybrid Network With Structural Constraints for SAR Image Scene Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3059742
Abstract: Data-based image classification methods, such as convolutional neural networks (CNNs), have achieved state-of-the-art performance. They usually leverage thousands of labeled samples to train the networks but ignore some prior knowledge. However, labeled samples are difficult… read more here.
Keywords: sar image; hybrid network; classification; sar images ... See more keywords
Low-Light Image Enhancement via a Deep Hybrid Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2910412
Abstract: Camera sensors often fail to capture clear images or videos in a poorly lit environment. In this paper, we propose a trainable hybrid network to enhance the visibility of such degraded images. The proposed network… read more here.
Keywords: light image; low light; image enhancement; hybrid network ... See more keywords
Go Deep or Broad? Exploit Hybrid Network Architecture for Weakly Supervised Object Classification and Localization.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3225180
Abstract: Weakly supervised object classification and localization are learned object classes and locations using only image-level labels, as opposed to bounding box annotations. Conventional deep convolutional neural network (CNN)-based methods activate the most discriminate part of… read more here.
Keywords: network; weakly supervised; classification; hybrid network ... See more keywords
A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machine
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2018.2803066
Abstract: Detecting and Please provide the correct one analyzing the event-related potential (ERP) remains an important problem in neuroscience. Due to the low signal-to-noise ratio and complex spatio-temporal patterns of ERP signals, conventional methods usually rely… read more here.
Keywords: erp; detection; erp net; erp signals ... See more keywords
Some characteristics of supernetworks based on unified hybrid network theory framework
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Modern Physics C"
DOI: 10.1142/s0129183117500577
Abstract: Comparing with single complex networks, supernetworks are more close to the real world in some ways, and have become the newest research hot spot in the network science recently. Some progresses have been made in… read more here.
Keywords: network; theory framework; unified hybrid; based unified ... See more keywords
A comprehensive review on hybrid network traffic prediction model
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i2.pp1450-1459
Abstract: Network traffic is a typical nonlinear time series. As such, traditional linear and nonlinear models are inadequate to describe the multi-scale characteristics of traffic, thus compromising the prediction accuracy. Therefore, the research to date has… read more here.
Keywords: hybrid network; network traffic; traffic; network ... See more keywords
3D reconstruction from structured-light profilometry with dual-path hybrid network
Sign Up to like & getrecommendations! Published in 2022 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.21203/rs.3.rs-1263804/v1
Abstract: With the rapid development of high-speed image sensors and optical imaging technology, these have effectively promoted the improvement of non-contact 3D shape measurement. Among them, striped structured-light technology has been widely used because of its… read more here.
Keywords: network; hybrid network; dual path; path hybrid ... See more keywords
Multi-Scale Hybrid Network for Polyp Detection in Wireless Capsule Endoscopy and Colonoscopy Images
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12082030
Abstract: The trade-off between speed and precision is a key step in the detection of small polyps in wireless capsule endoscopy (WCE) images. In this paper, we propose a hybrid network of an inception v4 architecture-based… read more here.
Keywords: capsule endoscopy; polyp; hybrid network; detection ... See more keywords