Modern (rational) methods for detecting genetic features of athletes by A. V. Zholinsky, A. I. Kadykova, V. S. Feshchenko, M. G. Hovhannisyan, A. V. Zorenko, R. V. Deev

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A problem-agnostic approach to feature selection and analysis using SHAP by John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang

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Dual-stage feature specialization network for robust visual object detection in autonomous vehicles by Ze Liu, Junhua Wu, Yingfeng Cai, Hai Wang, Long Chen, Qingchao Liu

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EXPERT LIGHT SOURCES AS AN INSTRUMENTAL METHOD FOR DETECTING HUMAN TEETH AND BONE REMAINS: FEATURES AND PROBLEMS OF APPLICATION IN THE PRODUCTION OF ACCIDENT SCENE EXAMINATION by LESSARD Alek Bryan

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Self-Supervised Feature Disentanglement for Deepfake Detection by Bo Yan, Pan Liu, Yumin Yang, Yanming Guo

“…Orthogonal constraints on features are enforced to mitigate the overfitting problem in traditional methods. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Abstract Out-of-distribution (OOD) detection is a crucial problem in practice, especially, for the safe deployment of machine learning models in industrial settings. …”
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Feature-Based Normality Models for Anomaly Detection by Hui Yie Teh, Kevin I-Kai Wang, Andreas W. Kempa-Liehr

“…Detecting previously unseen anomalies in sensor data is a challenging problem for artificial intelligence when sensor-specific and deployment-specific characteristics of the time series need to be learned from a short calibration period. …”
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Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems by An D. Le, Shiwei Jin, Sungbal Seo, You-Suk Bae, Truong Q. Nguyen

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Multi-Scale Feature Similarity and Object Detection for Small Printing Defects Detection by Haojie Lou, Yuanlin Zheng, Wenqian Chen, Haiwen Liu

“…To address this problem, a defect detection algorithm based on multi-scale feature similarity evaluation and small object defect detection is proposed. …”
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Detection of Catenary Positioning Bearing Based on Feature Matching by ZENG Yida, YANG Huijin, TAN Jinlian, TANG Li

“…Aiming at the problem of positioning bearing identification of high-speed railway catenary, using feature matching method in image processing technology to locate the catenary bearing by catenary comprehensive detection vehicle was proposed, and three kinds of characteristic descriptors were used to detect the feature points with constant rotation and constant scale. …”
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Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion by LIAN Zhe, YIN Yanjun, ZHI Min, XU Qiaozhi

“…To address the above problems, a scene text detection algorithm based on multi-scale feature extraction and bidirectional feature fusion is proposed. …”
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Phishing detection algorithm based on attention and feature fusion by ZHANG Sirui, YAN Zhiwei, DONG Kejun, YUCHI Xuebiao

“…To address the problem of escalating adversarial phishing technologies, a phishing detection algorithm based on the attention mechanism and feature fusion was proposed, and a hierarchical classification model was established. …”
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Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid by HUANGZhitian, XIEYining, ZHAOJing, HEYongjun

“…Aiming at the problems of less research on the detection of pathogenic microorganisms , large differences in target size and complex background , a multi-scale detection method of pathogenic microorganisms fused with recursive feature pyramid was proposed. …”
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Refining features for underwater object detection at the frequency level by Wenling Wang, Zhibin Yu, Zhibin Yu, Mengxing Huang

“…However, existing UOD approaches are still vulnerable to underwater environments, which mainly include light scattering and color shifting. The blurring problem caused by water scattering on underwater images makes the high-frequency texture edge less obvious, affecting the detection effect of objects in the image. …”
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Detection of network intelligence features with the decision tree model by N. P. Sharaev, S. N. Petrov

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SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…However, due to complex backgrounds and the loss of information in deep networks, infrared small target detection remains a difficult undertaking. To solve the above problems, we present a shallow feature fusion network (SFFNet) based on detection framework. …”
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Lane Detection Based on Connection of Various Feature Extraction Methods by Mingfa Li, Yuanyuan Li, Min Jiang

“…Lane detection is a challenging problem. It has attracted the attention of the computer vision community for several decades. …”
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A robust cyclic-feature detection against noise uncertainty by Qiang CHEN, Ming JIN, Jingwen TONG

“…However, noise uncertainty will degrade its performance severely. Aiming at this problem, a cyclic-feature detection method resisting to noise uncertainty was proposed. …”
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SIFT Feature-Based Video Camera Boundary Detection Algorithm by Lingqiang Kong

“…Aiming at the problem of low accuracy of edge detection of the film and television lens, a new SIFT feature-based camera detection algorithm was proposed. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…BackgroundThe methods used to detect epileptic seizures using electroencephalogram (EEG) signals suffer from poor accuracy in feature selection and high redundancy. …”
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