Reconstructing Domain-Specific Features for Unsupervised Domain-Adaptive Object Detection by Shuai Dong, Kang Deng, Kun Zou

“…In this work, we propose a novel domain-specific student–teacher framework to address this issue. The innovations of the proposed framework can be summarized in two aspects. …”
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Dual-branch attention network-based stereoscopicvideo compression by TANG Shu, ZHAO Yu, YANG Shuli, XIE Xian-Zhong

“…Secondly, a Dual-branch High Frequency Fusion Module (DHFFM) based on Invertible Neural Networks (INN) and gating mechanisms was proposed, which achieved efficient fusion of motion-compensated features and disparity features by accurate high-frequency information extraction and pixel-wise features filtering. …”
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Squeeze-EnGAN: Memory Efficient and Unsupervised Low-Light Image Enhancement for Intelligent Vehicles by Haegyo In, Juhum Kweon, Changjoo Moon

“…Squeeze-EnGAN incorporates a fire module into a U-net architecture, substantially reducing the number of parameters and Multiply-Accumulate Operations (MACs) compared to its base model, EnlightenGAN. …”
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SPT-AD: Self-Supervised Pyramidal Transformer Network-Based Anomaly Detection of Time Series Vibration Data by Seokhyun Gong, Taeyong Kim, Jongpil Jeong

“…Our proposed model tackles the data imbalance issue by generating four types of synthetic anomalies from normal vibration data and incorporates a pyramid-structured attention module to reduce computational costs and enhance the handling of long-term dependencies. …”
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Learning-based cooperative content caching and sharing for multi-layer vehicular networks by Jun Shi, Yuanzhi Ni, Lin Cai, Zhuocheng Du

“…However, how to satisfy the content demands in a timely manner with limited storage is an open issue owing to the high mobility of vehicles and the unpredictable distribution of dynamic requests. …”
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A Simulation Platform for Combined Rail/Road Transport in Multiyards Intermodal Terminals by Xuchao Chen, Shiwei He, Tingting Li, Yubin Li

“…With the rapid development of multiyards railway intermodal terminal (MYRIT) construction in China, performance evaluation has become an important issue for terminal design and management departments. …”
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Research on Open-Set Recognition Methods for Rolling Bearing Fault Diagnosis by Jia Xu, Yan Wang, Renyi Xu, Hailin Wang, Xinzhi Zhou

“…In rolling bearing fault diagnosis, when an unknown fault is present, the Closed-Set Recognition (CSR) method tends to misclassify it as a known fault. To address this issue, an Open-Set Recognition (OSR) framework is proposed for rolling bearing fault diagnosis in this study. …”
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Dynamic Grouping With Multi-Manifold Attention for Multi-View 3D Object Reconstruction by Georgios Kalitsios, Dimitrios Konstantinidis, Petros Daras, Kosmas Dimitropoulos

“…This work aims to address this issue by proposing a novel approach to compute information-rich inter-view features by combining image tokens with similar distinctive characteristics among the different views dynamically. …”
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Text-in-Image Enhanced Self-Supervised Alignment Model for Aspect-Based Multimodal Sentiment Analysis on Social Media by Xuefeng Zhao, Yuxiang Wang, Zhaoman Zhong

“…Such text influences sentiment judgment. To address this issue, we propose a text-in-image enhanced self-supervised alignment model (TESAM) that accounts for multimodal information more comprehensively. …”
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Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…Specifically, the CoordAtt module enhances the model’s spatial perception by encoding spatial coordinate information, enabling precise capture of the spatial distribution characteristics of fish schools. …”
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Analysis of critical time delay in active lateral suspension systems for high-speed trains by SHENG Yiqian, SHI Huailong, CHEN Longfei, LIU Zhiqiang, LIU Yanxiu

“…This paper presents a systematic investigation into the issue of time delays, offering guidance for the design and optimization of active suspension systems for high-speed trains.…”
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A Novel Architecture for Addressing the Throughput Bottleneck in Spaceborne Solid-State Recorder for Electromagnetic Spectrum Sensors by Xufeng Li, Li Zhou, Yan Zhu

“…Interleaved storage, multi-plane, and cache operation FLASH control module are also employed to resolve these bottlenecks. …”
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A Few-Shot Learning-Based Point Cloud Semantic Segmentation Network for Tunnel Lining Inspection by Ziyi Li, Nan Jiang, Lihong Tong

“…Additionally, we propose a heterogeneous feature interaction (HFI) module to merge features derived from distinct embedding networks.…”
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Architecture of the FindFISH Platform - A Service for Fishermen and More by Lidia Dzierzbicka-Glowacka, Michał Wójcik

“…The Knowledge Transfer Platform FindFISH represents a response to the primary issue diagnosed within the fisheries sector, namely the diminishing profitability of fishing endeavors. …”
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Research of methodological principles and financial mechanisms of macro-strategic management of the dynamics of technological innovation systems by B. D. Matrizaev

“…Equally relevant is the issue of ensuring the inflow of resources for technological development, such as public funding or private capital. …”
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Self-weighted dual contrastive multi-view clustering network by Huajuan Huang, Yanbin Mei, Xiuxi Wei, Yongquan Zhou

“…Subsequently, we design an adaptive weighted mechanism that can automatically enhance the useful views in feature fusion while suppressing unreliable views, effectively mitigating the representation degeneration issue. Furthermore, within the Contrastive Learning framework, we introduce a Dynamic Cluster Diffusion (DC) module that maximizes the distance between different clusters, thus enhancing the separability of the clusters and obtaining a clustering-friendly discriminative representation. …”
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Monocular Vision-Based Depth Estimation of Forward-Looking Scenes for Mobile Platforms by Li Wei, Meng Ding, Shuai Li

“…Consequently, the proposed method addresses the issue of losing critical features, which can lead to diminished accuracy and robustness. …”
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A steel surface defect detection method based on improved RetinaNet by Zhanglin Yang, Yu Liu

“…Abstract To address the issue of low detection accuracy caused by the variety of steel surface defect types, large shape differences, and the similarity between defects and the background, this paper proposes an improved method for detecting steel surface defects based on RetinaNet. …”
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Research on Robot Control Technology of Tomato Plant Lowering in Greenhouses by Bin Zhang, Shuhao Xu, Ziming Xiong, Hao Qin, Xinyi Ai, Ting Yuan, Wei Li

“…This paper addresses this issue by presenting the design and development of a tomato-plant-lowering robot utilizing machine vision and deep learning techniques. …”
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USS-Net: A neural network-based model for assisting flight route scheduling. by Yinlei Cheng, Qingfu Li

“…The StateConvBlock integrates Mamba as a fundamental module for understanding temporal dynamics and contextual information. …”
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