HATF: Multi-Modal Feature Learning for Infrared and Visible Image Fusion via Hybrid Attention Transformer by Xiangzeng Liu, Ziyao Wang, Haojie Gao, Xiang Li, Lei Wang, Qiguang Miao

“…To alleviate the above problems, a framework for multimodal feature learning fusion using a cross-attention Transformer is proposed. …”
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Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images by Masoumeh Rahmani, Gholamreza Akbarizadeh

Subjects: “…unsupervised feature learning…”
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Image feature learning combined with attention‐based spectral representation for spatio‐temporal photovoltaic power prediction by Xingchen Guo, Jing Lai, Zhou Zheng, Chenxiang Lin, Yuxing Dai, Xuexin Xu, Haisheng San, Rong Jia, Zhihong Zhang

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DETECTION OF HARBOURS FROM HIGH RESOLUTION REMOTE SENSING IMAGERY VIA SALIENCY ANALYSIS AND FEATURE LEARNING by Y. Wang, L. Pan, D. Wang, Y. Kang

“…Next, SIFT features are extracted and feature learning is processed to help represent the ROIs. …”
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No matter small or big lip motion: DeepFake detection with regularized feature learning on semantic information by Yang, Zhiyuan

“…In this work, we propose DTNet, a novel deep method that further regularizes feature learning toward more robust DeepFake Detection. …”
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LIFRNet: A Novel Lightweight Individual Fish Recognition Method Based on Deformable Convolution and Edge Feature Learning by Jianhao Yin, Junfeng Wu, Chunqi Gao, Zhongai Jiang

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3 directional Inception-ResUNet: Deep spatial feature learning for multichannel singing voice separation with distortion. by DaDong Wang, Jie Wang, MingChen Sun

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Hybrid fuzzy deep neural network toward temporal-spatial-frequency features learning of motor imagery signals by Maryam Sorkhi, Mohammad Reza Jahed-Motlagh, Behrouz Minaei-Bidgoli, Mohammad Reza Daliri

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Lightweight Pig Face Feature Learning Evaluation and Application Based on Attention Mechanism and Two-Stage Transfer Learning by Zhe Yin, Mingkang Peng, Zhaodong Guo, Yue Zhao, Yaoyu Li, Wuping Zhang, Fuzhong Li, Xiaohong Guo

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Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection by Tao Lei, Dinghua Xue, Hailong Ning, Shuangming Yang, Zhiyong Lv, Asoke K. Nandi

“…To address the above issues, a local and global feature learning with kernel scale-adaptive attention network (LGSAA-Net) is proposed in this article. …”
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Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients by Andrea Sikora, Hayoung Jeong, Mengyun Yu, Xianyan Chen, Brian Murray, Rishikesan Kamaleswaran

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Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization by Shiva Salsabilian, Laleh Najafizadeh

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A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series by Huihui Qiao, Taiyong Wang, Peng Wang, Shibin Qiao, Lan Zhang

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ForestFireDetector: Expanding Channel Depth for Fine-Grained Feature Learning in Forest Fire Smoke Detection by Long Sun, Yidan Li, Tongxin Hu

“…We expand the channel depth for fine-grain feature learning and retain more feature information. At the same time, lightweight convolution reduces the parameters of the model. …”
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Correction: Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

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A Novel Intelligent Fault Diagnosis Method for Rolling Bearing Based on Integrated Weight Strategy Features Learning by Jun He, Ming Ouyang, Chen Yong, Danfeng Chen, Jing Guo, Yan Zhou

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NodeSim: node similarity based network embedding for diverse link prediction by Akrati Saxena, George Fletcher, Mykola Pechenizkiy

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Research on the Construction of Multimodal Integration Resource Library for Online Teaching and Learning for Adult Education by Tong Tingting

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A two‐branch network with pyramid‐based local and spatial attention global feature learning for vehicle re‐identification by Jucheng Yang, Di Xing, Zhiqiang Hu, Tong Yao

“…A two‐branch network with pyramid‐based local and spatial attention global feature learning (PSA) is proposed for vehicle re‐identification to solve this issue. …”
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P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds by Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao

“…Different from considering the point cloud as voxel or point representation only, we propose a point-to-voxel feature learning approach to voxelize the point cloud with both the point-wise semantic and local spatial features, which maintains the voxel-wise features to build the high-recall voxel-based RPN and also provides the accurate point-wise features for refining the detection results. …”
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