R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable Proposals by Kamirul Kamirul, Odysseas A. Pappas, Alin M. Achim

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Transferring CLIP for visual grounding in remote sensing images by Linlin Liang, Yizhuo Quan, Chengbo Wang, Yuanfei Chang, Yanyou Qiao

“…Therefore, we propose a CLIP (Contrastive Language-Image Pretraining)-based remote sensing visual grounding framework, RSCLIPVG. RSCLIPVG employs a frozen CLIP model to extract visual and textual features, and we introduce a lightweight visual adapter to adapt visual representations, efficiently transferring the rich multimodal knowledge of CLIP to the RSVG scenario. …”
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TSD-Net: A Traffic Sign Detection Network Addressing Insufficient Perception Resolution and Complex Background by Chengcheng Ma, Chang Liu, Litao Deng, Pengfei Xu

“…However, detecting small traffic signs in complex road environments remains a significant challenge due to issues such as low resolution, dense distribution, and visually similar background interference. Existing methods face limitations including high computational cost, inconsistent feature alignment, and insufficient resolution in detection heads. …”
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Underwater Visual Object Tracking Method Based on Scene Perception by Qianwei HU, Daiwei WANG, Renjie LI, Xiaofan YU, Bin KANG, Ruoyu SU

“…However, challenges such as uneven illumination, background interference, and target appearance variation in complex underwater environments severely affect the accuracy and stability of traditional visual tracking methods. …”
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Improved Hierarchical Convolutional Features for Robust Visual Object Tracking by Jinping Sun

“…The target and background will change continuously in the long-term tracking process, which brings great challenges to the accurate prediction of targets. …”
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Comparative Study of Visual Feature for Bimodal Hindi Speech Recognition by Prashant UPADHYAYA, Omar FAROOQ, Musiur Raza ABIDI, Priyanka VARSHNEY

“…Also an importance of different types of visual features is studied for audio visual automatic speech recognition (AVASR) system under diverse noisy audio conditions. …”
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A bibliometric and visual analysis of the impact of senescence on tumor immunotherapy by Zixu Liu, Zixu Liu, Zixu Liu, Yuchen Mao, Shukai Wang, Haoyu Zheng, Kangping Yang, Liang Yang, Peng Huang, Peng Huang

“…Whether these studies can act synergistically in the fight against cancer and the specific links between them are still unclear.MethodsWe extracted, quantified, and visualized data from the literature (n = 2396) for the period 2004-2023 after rigorous quality control using citespace, GraphPad Prism, the R software package, and VOSviewer.ResultsLinear fit analyses were generated to predict the number of annual publications and citations as a function of the top-performing authors, journals, countries, and affiliations academically over the past two decades such as Weiwei, Aging-us, China, and the UT MD Anderson Cancer Center. …”
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Forest fire detection based on temporal and spatial correction of background brightness temperature using GF-4 PMI data by P. Cheng, H. Sui, J. Wang, L. Hua, J. Liu, Q. Zhou, Y. Zeng

“…In this method, dynamic thresholds based on brightness temperature distributions are employed to extract potential fire points, and the background brightness temperature is corrected by utilizing imagery from the same time on the previous day and the brightness temperature from the outer edges of the background window, thereby reducing fire effects on background temperatures. …”
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Visual analysis of diversity and threat status of natural materials for musical instruments by Jakob Kusnick, Silke Lichtenberg, Silke Lichtenberg, Daniel Wiegreffe, Elisabeth Huber-Sannwald, Udo Nehren, Stefan Jänicke

“…To address this challenging task, we present MusEcology, a new interactive decision support system based on visualizations. The interactive visualizations offer entry points for users of various backgrounds to explore the interrelationships between musical instruments, natural resources and ecosystems. …”
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Extracting Sensory Preferability from Motor Streams by Vilelmini Kalampratsidou

“…The results also indicated the audio and visual conditions that optimized the participant’s sensory–motor system performance. (4) Conclusions: The outcomes suggest that we can extract from motor stream particulars that go beyond an individual’s movement qualities and toward the contextual sensory inputs accompanying the movement data, even when participants execute the very same task of walking.…”
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Using visual research methods to study occupations: A scoping review by Urša Bratun, Thomas Morgenthaler, Ben D. Lee

“…Background Visual research methods (VRMs), including photovoice, photo-elicitation, drawing, collaging, and videography, are increasingly employed in qualitative research exploring occupation. …”
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Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…A novel Dual Kernel Squeeze and Excitation Network (DKSE-Net) model is proposed for the complex cultural background and diverse visual representation in environmental art images. …”
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YOLO-HVS: Infrared Small Target Detection Inspired by the Human Visual System by Xiaoge Wang, Yunlong Sheng, Qun Hao, Haiyuan Hou, Suzhen Nie

“…To address challenges of background interference and limited multi-scale feature extraction in infrared small target detection, this paper proposes a YOLO-HVS detection algorithm inspired by the human visual system. …”
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Prenatal exposure to polyfluoroalkyl substances and visual acuity in preschool children: Findings from the Guangxi Zhuang birth cohort in China by Lidi Lei, Fangfang Lv, Peini Lu, Caimei Mo, Jinxiu Li, Xuemei Xu, Gangjie Wei, Xuanqian Huang, Xiaoqiang Qiu, Dongping Huang, Xiaomei Zhou, Hui Wei, Xiaoyun Zeng, Shun Liu

“…However, the effects on visual system had not been previously explored. Objective: The study aimed to assess the association between prenatal exposure to PFASs and visual acuity and visual impairment in preschool children. …”
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Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning by Gu Geng, Sida Zhou, Jianing Tang, Xinming Zhang, Qiao Liu, Di Yuan

“…We first construct a large-scale database of real-world target objects, then synthesize training video pairs by randomly inserting these targets into background frames while applying geometric and appearance transformations to simulate realistic variations. …”
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A data-driven analysis of emergency first responder education on substance use and stress management across demographic and professional backgrounds by Francine R. Vega, Audrey Lopez, Vicky Beakley, A. Sarah Cohen, Tiffany Champagne-Langabeer

“…Methods Demographic, professional background, and course completion data were extracted from the program’s web-based learning management system for all 14 published courses. …”
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Worldwide Research Trends on Lung Cancer and Microbiota: A Bibliometric and Visualized Analysis by Ren YF, Tan SY, Wang Q, He JW, You FM, Ma Q, You LT

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A Multiple Feature-Based Image-Switching Strategy in Visual Sensor Networks by Seok-Woo Jang, Gye-Young Kim

“…To extract proper information from images more precisely in visual sensor networks, this paper proposes an image-switching strategy where, among different types of installed cameras, the one camera best suited to neighboring circumstances is chosen. …”
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PREVENTION AND CORRECTION OF DISORDERS AND DISEASES OF A VISUAL ORGAN OF MODERN SCHOOL STUDENTS by N. B. Mirskaya, А. D. Sinyakina, А. N. Kolomenskaya

“…Background: The aim of the study was to establish the prevalence of disorders and diseases of a visual organ at school students for development of the medical and organizational actions directed on their prevention and correction. …”
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Bibliometric study and visualization of myocardial infarction combined with heart failure, 1993–2023 by Kexin Wang, Shaoqiang Zhang, Mingdan Zhu

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