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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A Multi-Rate Probabilistic Slow Feature Regression Model for Dynamic Feature Learning and Industrial Soft Sensor Development by Miao Zhang, Zhiwei Wen, Le Zhou

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ES²FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images by Bing Liu, Kuiliang Gao, Anzhu Yu, Lei Ding, Chunping Qiu, Jia Li

“…Aiming at the small sample characteristics of HSI classification, a novel ensemble self-supervised feature-learning (ES<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow></mrow><mn>2</mn></msup></semantics></math></inline-formula>FL) method is proposed in this paper. …”
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Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning by Ba Hung Ngo, Jae Hyeon Park, So Jeong Park, Sung In Cho

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A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning by Gang Wang, Jinyue Hu, Yu Zhang, Zhaolin Xiao, Mengxing Huang, Zhanping He, Jing Chen, Zhiming Bai

“…This paper proposes a novel and modified, U-shaped convolutional neural network contour control points on a small number of datasets of MRI T2W images of PPAT combined with its gradient images as a feature learning method to reduce feature ambiguity caused by the differences in PPAT contours of different patients. …”
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Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs by Ping Xuan, Jinshan Xiu, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang

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A Two-Stage Neural Network for Sleep Stage Classification Based on Feature Learning, Sequence Learning, and Data Augmentation by Chenglu Sun, Jiahao Fan, Chen Chen, Wei Li, Wei Chen

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PM-Net: A Multi-Level Keypoints Detector and Patch Feature Learning Network for Optical and SAR Image Matching by Ziqian Li, Zhitao Fu, Han Nie, Sijing Chen

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ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation by Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic

“…Efficient modeling of high-dimensional data requires extracting only relevant dimensions through feature learning. Unsupervised feature learning has gained tremendous attention due to its unbiased approach, no need for prior knowledge or expensive manual processing, and ability to handle exponential data growth. …”
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Marine Vessel Re-Identification: A Large-Scale Dataset and Global-and-Local Fusion-Based Discriminative Feature Learning by Dalei Qiao, Guangzhong Liu, Feng Dong, She-Xiang Jiang, Likun Dai

“…We describe a marine vessel-re-identification framework, Global-and-Local Fusion-based Multi-view Feature Learning (GLF-MVFL), which is based on a combination of global and fine-grained local features. …”
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Predicting the Trend of Stock Market Index Using the Hybrid Neural Network Based on Multiple Time Scale Feature Learning by Yaping Hao, Qiang Gao

“…In this paper, we propose a novel end-to-end hybrid neural network, a model based on multiple time scale feature learning to predict the price trend of the stock market index. …”
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NROI based feature learning for automated tumor stage classification of pulmonary lung nodules using deep convolutional neural networks by Supriya Suresh, Subaji Mohan

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Dempster–Shafer evidence theory‐based multi‐feature learning and fusion method for non‐rigid 3D model retrieval by Hui Zeng, Ran Zhang, Xiuqing Wang, Dongmei Fu, Qingting Wei

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A Novel Order Analysis and Stacked Sparse Auto-Encoder Feature Learning Method for Milling Tool Wear Condition Monitoring by Jiayu Ou, Hongkun Li, Gangjin Huang, Qiang Zhou

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Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion by Yansheng Li, Yongjun Zhang, Chao Tao, Hu Zhu

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Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach by Ryoichi Takashima, Yuya Sawa, Ryo Aihara, Tetsuya Takiguchi, Yoshie Imai

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Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning by Jae-Hyeon Lee, Chang-Hwan Son

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A feature learning method for rotating machinery fault diagnosis via mixed pooling deep belief network and wavelet transform by Jiahui Tang, Jimei Wu, Jiajuan Qing

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Additive Orthant Loss for Deep Face Recognition by Younghun Seo, Nam Yul Yu

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