Two-Branch Convolutional Sparse Representation for Stereo Matching
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3056137
Abstract: Supervised learning methods have been used to calculate the stereo matching cost in a lot of literature. These methods need to learn parameters from public datasets with ground truth disparity maps. Due to the heavy… read more here.
Keywords: stereo matching; two branch; stereo; branch convolutional ... See more keywords
A Joint Global–Local Network for Human Pose Estimation With Millimeter Wave Radar
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3201005
Abstract: This article proposes a two-branch learning model, namely, the joint global–local network, for human pose estimation (HPE) using millimeter wave radar. The aim of this work is to remediate the ill-posed problems in HPE arising… read more here.
Keywords: pose estimation; branch; two branch; estimation ... See more keywords
Two-Branch Asymmetric Model With Alternately Clustering for Unsupervised Person Re-Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3125828
Abstract: In the field of unsupervised person Re-identification (Re-ID), mainstream methods adopt cluster algorithm to generate pseudo labels for training. Despite the effectiveness, the cluster algorithm generates noisy labels, which are retained in further model updating… read more here.
Keywords: branch; two branch; unsupervised person; alternately clustering ... See more keywords
TBFormer: Two-Branch Transformer for Image Forgery Localization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3279018
Abstract: Image forgery localization aims to identify forged regions by capturing subtle traces from high-quality discriminative features. In this paper, we propose a Transformer-style network with two feature extraction branches for image forgery localization, and it… read more here.
Keywords: image forgery; two branch; forgery localization; feature ... See more keywords
MSLAN: A Two-Branch Multidirectional Spectral–Spatial LSTM Attention Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3176216
Abstract: Recurrent neural networks (RNNs) have been widely used for hyperspectral image (HSI) classification via sequence modeling. However, most of the RNN methods focus on modeling long-range dependencies along the spectral direction without fully exploring multidirectional… read more here.
Keywords: network; classification; spectral spatial; two branch ... See more keywords
Two-Branch Deconvolutional Network With Application in Stereo Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3131048
Abstract: Deconvolutional networks have attracted extensive attention and have been successfully applied in the field of computer vision. In this paper we propose a novel two-branch deconvolutional network (TBDN) that can improve the performance of conventional… read more here.
Keywords: deconvolutional network; application; stereo matching; branch deconvolutional ... See more keywords
Detecting Compressed Deepfake Images Using Two-Branch Convolutional Networks with Similarity and Classifier
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14122691
Abstract: As a popular technique for swapping faces with someone else’s in images or videos through deep neural networks, deepfake causes a serious threat to the security of multimedia content today. However, because counterfeit images are… read more here.
Keywords: compressed deepfake; similarity; two branch; compression ... See more keywords