Search Results - "dual branch autoencoder"

Dual Branch Autoencoder Network for Spectral-Spatial Hyperspectral Unmixing by Hua, Ziqiang, Li, Xiaorun, Feng, Yueming, Zhao, Liaoying

“…Spatial information can play a supporting role in spectral unmixing. In this letter, we propose a dual branch autoencoder network to incorporate spatial-contextual information for spectral-spatial unmixing…”
Get full text

ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases by Zheng, Qiang, Nan, Pengzhi, Cui, Yongchao, Li, Lin

“…•Connectome autoencoder learns powerful representations of brain disease.•The dual-branch autoencoder of radiomic and connectivity features are complementary…”
Get full text

A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized Image Enhancement by Xue, Chang, Liu, Qingyu, Huang, Yifan, Cheng, En, Yuan, Fei

“…Underwater detection faces uncomfortable illumination conditions, and traditional optical images sensitive to intensity often cannot work well in these…”
Get full text

Dual Branch Learning with Prior Information for Surface Anomaly Detection by Wang, Shuyuan, Lv, Chengkan, Zhang, Zhengtao, Wei, Xueyan

“…Visual surface anomaly detection focuses on the classification and location of regions that deviate from the normal appearance, and generally, only normal…”
Get full text

Dual-Branch Autoencoder with Clustering Information for Hyperspectral Blind Unmixing by Zong, Hongru, Liu, Jianjun

“… In this paper, a dual-branch autoencoder with clustering information is proposed called DBA-CIU, which can fully utilize the spatial and spectral information of hyperspectral and add a priori…”
Get full text

Spatial-Spectral Dual-Branch Autoencoder based on Adaptive Convolution for Hyperspectral Unmixing by Jin, Baohua, Li, Sijia, Huang, Wei, Zhu, Yunfei

“… To address this issue and further extract spatial-spectral information from hyperspectral images, In this paper, a novel hyperspectral unmixing method based on spatial-spectral dual branch…”
Get full text

Deep Clustering Method Based on Dual-branch Wavelet Convolutional Autoencoder and DataAugmentation by AN Rui, LU Jin, YANG Jingjing

“…Deep clustering based on autoencoders is a representative algorithm for unsupervised learning.It has gained much attention in the field of computer vision in…”
Get full text

Dual-branch autoencoder network for attacking deep hashing image retrieval models by Sizheng FU, Chunjie CAO, Zhiyuan LIU, Fangjian TAO, Jingzhang SUN

“… models.A dual-branch autoencoder network (DBAE) to study targeted attacks on such retrieval…”
Get full text

Dual-branch autoencoder network for attacking deep hashing image retrieval models by Fu, Sizheng, Cao, Chunjie, Liu, Zhiyuan, Tao, Fangjian, Sun, Jingzhang

“… A dual-branch autoencoder network (DBAE) to study targeted attacks on such retrieval was proposed…”
Get full text

Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media by Pawar, Nikhil M., Soltanmohammadi, Ramin, Faroughi, Shirko, Faroughi, Salah A.

“… This work proposes a unique two-stage deep learning architecture comprising a dual-branch autoencoder and a geo-guided super-resolution generative adversarial network (Gg-SRGAN…”
Get full text

DMFusion: A dual-branch multi-scale feature fusion network for medical multi-modal image fusion by Ma, Gengchen, Qiu, Xihe, Tan, Xiaoyu

“…), aiming to optimize the fusion performance of multi-modal medical images. The DMFusion framework is based on a dual-branch autoencoder (AE…”
Get full text

P- and S-Wave Separation in Complex Geological Structures via Knowledge-Guided Autoencoder by Lu, Cai, Zou, Xuyang, Wang, Yunchen, Zong, Jingjing, Su, Qin

“…The separation of P- and S-waves is pivotal in the processing of multicomponent seismic data. The complexity of geological structures often leads to intricate…”
Get full text

Pedestrian detection-driven cascade network for infrared and visible image fusion by Zheng, Bowen, Huo, Hongtao, Liu, Xiaowen, Pang, Shan, Li, Jing

“… In the first stage, we propose a dual-branch autoencoder network that utilizes spatial feature alignment module (SFAM…”
Get full text

Vector-quantized dual-branch fusion network for robust image fusion and anomaly suppression by Huang, Siyang, Su, Shaojing, Wei, Junyu, Hu, Liushun, Cheng, Zhangjunjie

“…•Propose a Vector-Quantized Dual-Branch Fusion Framework Develop a novel architecture with discrete codebooks to eliminate ambiguous latent spaces,…”
Get full text

Blind Hyperspectral Unmixing using Dual Branch Deep Autoencoder with Orthogonal Sparse Prior by Dou, Zeyang, Gao, Kun, Zhang, Xiaodian, Wang, Hong, Wang, Junwei

“… In this paper, we propose a dual branch autoencoder with a novel sparse prior to simultaneously extract endmembers and abundances from the raw HSI…”
Get full text

Prism: Privacy-Preserving Inter-Site MRI Harmonization via Disentangled Representation Learning by Galada, Sarang, Halder, Tanurima, Deo, Kunal, Krish, Ram P., Jadhav, Kshitij

“… PRISM employs a dual-branch autoencoder with contrastive learning and variational inference to disentangle anatomical features from style and site-specific variations, enabling unpaired image…”
Get full text

Differential Spectral Guided Deep Hyperspectral Unmixing Network by Peng, Hangqi, Yang, Kaijun, Feng, Ruyi, Wang, Lizhe

“…This paper introduces a novel dual-branch autoencoder (AE) architecture for hyperspectral unmixing…”
Get full text

An Attention Fusion-Based Multimodal Autoencoder Deepfake Detection Framework by Hu, Tong, Liu, Wei, Fan, Yaqi, Yang, Jie, Qiao, Yuanyuan

“… This paper designs a dual-branch autoencoder detection network that integrates both video and audio modalities, innovatively incorporating multi-level attention mechanisms to enable efficient feature fusion…”
Get full text

PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning by Galada, Sarang, Halder, Tanurima, Deo, Kunal, Krish, Ram P, Jadhav, Kshitij

“… PRISM employs a dual-branch autoencoder with contrastive learning and variational inference to disentangle anatomical features from style and site-specific variations, enabling unpaired image…”
Get full text

用于攻击深度哈希图像检索模型的双分支自编码器网络 by 符思政, 曹春杰, 刘志远, 陶方舰, 孙敬张

“…由于其强大的表示学习能力和高效的计算能力，基于深度学习的哈希（深度哈希）方法在大规模图像检索中被广泛应用。然而，对深度哈希模型的安全性研究较少。提出了双分支自编…”
Get full text