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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Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion by Feiting Wang, Yuan Zhang, Qiongqiong Hu, Yu Zhu

“…MFENet considers the differences between objects of different scales and selects more suitable receptive fields to enhance the extraction of multi-scale semantic features. We propose a composite atrous multi-scale feature fusion (CAMFF) module to enhance the extraction of spatial detail and semantic information of features at different scales. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…A multi-index fusion adaptive cavitation feature extraction and cavitation detection method is proposed to solve the above problems. …”
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Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion by Di Zhang, Peicheng Yue, Yuhang Yan, Qianqian Niu, Jiaqi Zhao, Huifang Ma

“…In this paper, we propose a multi-source remote sensing semantic segmentation method based on differential feature attention fusion (DFAFNet) to alleviate the problems of difficult multi-source discriminant feature extraction and the poor quality of decoder feature reconstruction. …”
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A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…The goal of Chinese painting image style transfer is to render a real landscape scene image with Chinese painting artistic features, guided by a style reference, while maintaining the original, realistic scene image content. …”
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African water body segmentation with cross-layer information separability based feature decoupling transformer by Binghao Liu, Qi Zhao, Chunlei Wang, Meng Li, Hongbo Xie, Lijiang Chen

“…Third, we design an asymmetric cross-layer input-dependent Feature Decoupling Transformer (FDTran), to extract water features from information mixed high-level features, improving water segmentation performance. …”
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Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network by Yirui Jiang, Shan Zhao, Hongwei Li, Huijing Wu, Wenjie Zhu

“…In order to solve the above problems, an urban spatiotemporal event prediction method based on a convolutional neural network (CNN) and road feature fusion network (FFN) named CNN-rFFN is proposed in this paper. …”
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Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm by Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu

“…When faced with complex scenes containing strong edge contours and noise, there are still more background residuals in the detection results of traditional algorithms, leading to a high false alarm rate. To solve the above problems, we propose an infrared dim and small target detection method that combines local feature prior and tensor train nuclear norm (TTNN). …”
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Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds by Yuanhong Zhong, Guangxia Yang, Dihang Deng, Panliang Tang, Fan Ren

“…In order to solve the above problems, we propose the Mask-SL RCNN (Mask-Spherical-neighborhood-global-feature-Layer Region-CNN), a feature-enhanced 3D object detection network. …”
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Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism by Yichen Liao, Ziqi Gao, Xufeng Li

“…Among them, we found that frequency domain features are the key to affecting the above problems. …”
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Multichannel Aligned Feature Fusion Method for Salient Object Detection in Optical Remote Sensing Images by Weining Zhai, Liejun Wang, Panpan Zheng, Lele Li

“…RSI-SOD often faces problems such as incomplete structure, missing semantic information, and blurred edges. …”
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Hybrid Multi-Attention Network for Audio–Visual Emotion Recognition Through Multimodal Feature Fusion by Sathishkumar Moorthy, Yeon-Kug Moon

“…In order to address these problems, we propose a multimodal learning framework for emotion recognition, called the Hybrid Multi-ATtention Network (HMATN). …”
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Semi-supervised segmentation of cardiac chambers from LGE-CMR using feature consistency awareness by Hairui Wang, Helin Huang, Jing Wu, Nan Li, Kaihao Gu, Xiaomei Wu

“…We also applied a voxel-level contrastive learning strategy to achieve feature-level consistency, helping the model pay attention to the consistency between features overlooked in previous research. …”
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Multi-Label Feature Selection with Graph-based Ant Colony Optimization and Generalized Jaccard Similarity by Sabah Robitan Mahmood, Tahsin Ali Mohammed Amin, Khalid Hassan Ahmed, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…Pheromones are assigned values based on the effectiveness of the ants in solving the problem. Finally, the features are ranked based on their pheromone values, and the top-ranked features are selected as the final set of attributes. …”
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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

“…Firstly, an improved DETR network main feature extraction module adopts the ResNet18 network and replaces some residual layers with deformable convolutions (DCNv2), enabling the model to better adapt to pollution-free fruit changes at different scales and angles, while eliminating the impact of microbial contamination on fruit testing; Subsequently, the extended spatial pyramid pooling model (DSPP) and multiscale residual aggregation module (FRAM) are integrated, which help reduce feature noise and minimize the loss of underlying features during the feature extraction process. …”
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FORMATION OF AN IMAGE OF THE ENEMY DURING THE FIRST WORLD WAR IN RUSSIA AND PROBLEM OF RUSSIANS PRISONERS OF WAR by E. Abdrashitov

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Device-edge collaborative occluded face recognition method based on cross-domain feature fusion by Puning Zhang, Lei Tan, Zhigang Yang, Fengyi Huang, Lijun Sun, Haiying Peng

“…Besides, previous research fails to consider the facial characteristics including occluded and unoccluded parts. To solve the above problems, we put forward a device-edge collaborative occluded face recognition method based on cross-domain feature fusion. …”
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Monthly Runoff Forecasting by Non-Generalizing Machine Learning Model and Feature Space Transformation (Vakhsh River Case Study) by Matrenin P.V., Safaraliev M.K., Kiryanova N.G., Sultonov S.M.

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Can the EU’s Enhanced Co-operation Mechanism Provide Solutions to the “Single Undertaking” Problems of the WTO by Dragoș Negrescu

“…The “Single Undertaking” is a feature making the WTO unique among multilateral organizations. …”
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Uniqueness of Positive Solutions to Non-Local Problems of Brézis–Oswald Type Involving Hardy Potentials by Yun-Ho Kim

“…The aim of this paper is to demonstrate the existence of a unique positive solution to non-local fractional <i>p</i>-Laplacian equations of the Brézis–Oswald type involving Hardy potentials. The main feature of this paper is solving the difficulty that arises in the presence of a singular coefficient and in the lack of the semicontinuity property of an energy functional associated with the relevant problem. …”
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