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Dual-level correspondence network for few-shot semantic segmentation

Multimedia Tools and Applications 2025年 1-20页

作者： Hui, Huang Wen, Chunlin Ma, Yan Yuan, Feiniu Zhu, Hongqing Zhu, Peng College of Information Mechanical and Electrical Engineering Shanghai Normal University Haisi Shanghai200234 China Shanghai Engineering Research Center of Intelligent Education and Bigdata Shanghai Normal University Haisi Shanghai200234 China School of Information Science and Engineering East China University of Science and Technology Meilong Shanghai200237 China Shanghai Vixdetect Inspection Equipment Co. Ltd. Jindu Shanghai201108 China

Few-shot semantic segmentation (FSS) aims to segment novel class objects with only a few labeled support images from the same class. Most previous works exploit the prototype learning or affinity learning framework to extract single-level correspondence between support and query sets. However, single-level correspondence from the object or pixel information fails to fully mine semantic correlation, thus leading to incomplete segmentation or background noise. To address this issue, we propose the Dual-Level Correspondence Network (DLCNet) to establish the complementary correspondence with support prototype and pixel information guidance. The dual-level correspondence generation module accomplishes the dense matching between query features and dual-level object information to establish dual-level correspondence. Moreover, we design the attention mask generation module to alleviate the generalization reduction based on the multi-level prior attention and introduce the multi-scale feature adaptive fusion module to boost fusion features and refine fine-grained segmentation. Extensive experiments on PASCAL-5i and COCO-20i demonstrate the superiority of our method. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Semantic Segmentation

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Leveraging Out-of-Domain Noise for Unsupervised Domain Adaptation in Speech Enhancement

Leveraging Out-of-Domain Noise for Unsupervised Domain Adapt...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Liao, Yu Guan, Haixin Wei, Shuang Long, Yanhua Shanghai Engineering Research Center of Intelligent Education and Bigdata Shanghai Normal University Shanghai China Unisound AI Technology Co. Ltd. Beijing China

ISBN: (纸本)9798350368741

When there's a mismatch between the training and test domains, supervised speech enhancement (SE) models trained on synthetic paired noisy-clean data often struggle in real-world scenarios, highlighting the industry's strong demand for unsupervised training and domain adaptation methods. In this study, we introduce PHA-ReMixIT, a novel approach for leveraging out-of-domain (OOD) noise signals to enhance unsupervised domain adaptation in SE. Our method builds upon the state-of-the-art ReMixIT by introducing a paired unsupervised remixing technique, which augments the diversity of target domain training data with OOD noise signals. We further propose a heterogeneous noise invariant training to align the OOD augmented noisy mixtures with their paired heterogeneous counterparts, encouraging the model to output cleaner speech. Additionally, an adaptive focal weighting mechanism is also introduced to dynamically emphasize the data importance of both in-domain and OOD noisy mixtures during model adaptation. Experiments on CHiME-7 unsupervised domain adaptation for conversational speech enhancement (UDASE) task demonstrate that PHA-ReMixIT significantly outperforms the ReMixIT baseline, boosting SE performance on both real and synthesized test sets. © 2025 IEEE.

关键词： adaptive focal weighting domain adaptation PHA-ReMixIT Speech enhancement

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Laser shock processing of titanium alloys:A critical review on the microstructure evolution and enhanced engineering performance

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材料科学技术（英文版） 2025年第6期209卷 262-291页

作者： Qian Liu Shuangjie Chu Xing Zhang Yuqian Wang Haiyan Zhao Bohao Zhou Hao Wang Genbin Wu Bo Mao School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Baoshan Iron & Steel Cooperation Limited Shanghai 201900China School of Mechanical and Electric Engineering Soochow UniversitySuzhou 215100China Department of Mechanical Engineering University of Nevada-RenoReno 89557USA School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Baowu Special Metallurgy Cooperation Limited Shanghai 201900China Shanghai Engineering Research Center of Laser Intelligent Manufacturing Shanghai Institute of Laser Technology Co.Ltd.Shanghai 200233China Department of Orthopaedic Surgery Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghai 200080China

Titanium(Ti)and its alloys are frequently utilized as critical components in a variety of engineering ap-plications because of their high specific strength and excellent corrosion *** to conven-tional surface strengthening technologies,laser shock peening(LSP)has increasingly attracted attention from researchers and industries,since it significantly improves the surface strength,biocompatibility,fa-tigue resistance,and anti-corrosion ability of Ti and its *** numerous studies that have been carried out to elucidate the effects of LSP on microstructural evolution and mechanical properties of Ti and its alloys in recent years,a comprehensive review of recent advancements in the field of Ti and its alloys subjected to LSP is still *** this review,the standard LSP and the novel process designs of LSP assisted by thermal,cryogenic,electropulsing and magnetic fields are discussed and *** evolution,with focuses on the dislocation dynamics,deformation twinning,grain refine-ment and surface amorphization,during LSP processing of Ti alloys is ***,the en-hanced engineering performance of the LSP-processed(LSPed)Ti alloys,including surface hardness,wear resistance,fatigue life and corrosion resistance are ***,this review concludes by present-ing an overview of the current challenges encountered in this field and offering insights into anticipated future trends.

关键词： Laser shock peening Titanium alloys Microstructure evolution Mechanical properties

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Application research of the technology of New Integrated Formwork Equipment for Aerial Building Construction

Application Research of the Technology of New Integrated For...

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2024 International Conference on Construction and Real Estate Management: ESG Development in the Construction Industry, ICCREM 2024

作者： Fang, Tingchen Gong, Jian Feng, Yu Fu, Xinli Zhu, Yimin Shen, Qingfeng College of Civil Engineering Tongji Univ. Shanghai China Shanghai Construction Group Co. Ltd. Shanghai China Shanghai Research Center of Intelligent Construction Engineering Technology for Super High-Rise Buildings Shanghai China

ISBN: (数字)9780784485910

ISBN: (纸本)9780784485910

The integrated steel platform aerial building formwork equipment is independently innovated and developed in China, which is mainly used for the construction of concrete structures in super high-rise buildings and high-rise structures. Based on the concept of industrialization and intelligent construction, key technical aspects of the integration of large mechanical equipment, such as tower cranes, dual-purpose elevators for people and cargos, concrete placing-booms, and integral steel platform aerial building formwork equipment, have been analyzed, including the connection method, climbing mode, and force transmission form. Key points of intelligent construction safety monitoring for integrated formwork equipment for aerial building construction are clarified and compared with other types of aerial building formwork equipment based on the application cases of Zikawei center and Ningbo center building projects, and the aspects where the new type of equipment needs to be improved have been summarized and analyzed. © ASCE.

关键词： Tower cranes

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Time-Varying Formation Tracking Control of Heterogeneous Multi-Agent Systems With Intermittent Communications and Directed Switching Networks

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems Control theory Autonomous systems Stability

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Effect of orbital symmetry on atomic ionization in near-infrared laser fields

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Chinese Physics B 2025年第1期34卷 289-292页

作者： Manqi Xu Shilin Hu Li Guo Jing Chen Research Center for Advanced Optics and Photoelectronics Department of PhysicsCollege of ScienceShantou UniversityShantou 515063China Key Laboratory of Intelligent Manufacturing Technology of MOE Shantou UniversityShantou 515063China Department of Physics Shanghai Normal UniversityShanghai 200234China Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences Department of Modern PhysicsUniversity of Science and Technology of ChinaHefei 230026China Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology Center for Advanced Material Diagnostic Technologyand College of Engineering PhysicsShenzhen Technology UniversityShenzhen 518118China

We have performed a comparative study of the photoelectron spectra adopting different initial states(2s or 2_(p0))of hydrogen atoms in a near-infrared laser pulse by using the full three-dimensional time-dependent Schr?dinger *** is demonstrated that the atomic photoelectron spectra oscillate out of step as a function of electron kinetic energies for different initial states(2s or 2_(p0)),which is well reproduced by the simulations based on strong field approximation,and the above distinct feature is ascribed to the different interferences from the partial electron wave packets detached by positive and negative electric fields for different initial states of 2s and 2_(p0).

关键词： orbital symmetry photoelectron spectra strong-field approximation

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Swarm-Based Dynamic Coverage of Multi-ASV Systems in the Presence of Measurement Noises

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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Semi-Autonomous Navigation Based on Local Semantic Map for Mobile robot

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Journal of shanghai Jiaotong university(Science) 2025年第1期30卷 27-33页

作者： ZHAO Yanfei XIAO Peng WANG Jingchuan GUO Rui Department of Automation Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240China State Grid Intelligence Technology Co. Ltd.Jinan250013China

Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist users to implement accurate navigation(e.g.,docking)in the environment without prior *** order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms,this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic *** last,comparative experiments were carried out in the real *** show that our method is superior in terms of safety,comfort and docking accuracy.

关键词： semi-autonomous navigation mobile robot semantic map voice interaction

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SAF: Local Shape-aware Face-based Garment Collision Handling via Neural SDFs

SAF: Local Shape-aware Face-based Garment Collision Handling...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Tang, Minzhe Yuan, Ruisheng Kou, Dongliang Sun, Mingyang Zhang, Lihua Academy for Engineering and Technology Fudan University Shanghai China Institute of Metaverse & Intelligent Medicine Fudan University Shanghai China Jilin Provincial Key Laboratory of Intelligence Science and Engineering Changchun China Engineering Research Center of AI and Robotics Ministry of Education Shanghai China AI and Unmanned Systems Engineering Research Center of Jilin Province Changchun China

ISBN: (纸本)9798350368741

Learning-based garment prediction presents an appealing alternative to physics-based methods owing to its high efficiency. However, the predicted garments can exhibit noticeable penetrations into the body. Many collision-handling methods operate in the point domain, which has an inherent limitation in addressing the penetration issues with the mesh faces. In light of this, we propose a local Shape-Aware, Face-based collision handling approach (SAF) that can be applied to garment prediction networks to achieve real-time collision handling. Considering the nature of garments, we design a compact formulation to model the continuity of the garment surface, and utilize neural Signed Distance Fields (SDFs) to accomplish penetration resolution. Recognizing the significant impact of the body's local shape on collision handling, we further propose using the angles between SDF gradients to characterize the sharpness of the body. Our approach can compensate for the inaccuracy of neural SDFs and preserve local smoothness and details. Extensive experiments demonstrate the outstanding performance and generalizability of our method. © 2025 IEEE.

关键词： collision handling computer graphics deep learning garment simulation

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intelligent Psyllid Monitoring Based on DiTs-YOLOv10-SOD

IEEE Transactions on AgriFood Electronics

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IEEE Transactions on AgriFood Electronics 2025年第1期3卷 286-294页

作者： Zhang, Li Liang, Qianyue John, Vijay Chen, Hong Li, Shanjun Li, Weifu Chen, Yaohui Huazhong Agricultural University College of Informatics Wuhan430070 China Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Wuhan430070 China Huazhong Agricultural University College of Engineering Wuhan430070 China RIKEN Guardian Robot Project Kyoto619-0288 Japan

Citrus psyllids are common pests that feed on the sap of citrus trees, leading to yellowing, deformation, and potentially tree death in severe cases. Effective identification and monitoring of these pests are crucial for the health and sustainable development of the citrus industry. Rapid and accurate detection enables farmers to control citrus psyllid infestations promptly, thereby protecting their crops and ensuring industry sustainability. In this article, we utilize a custom-built pest-trapping device to capture the psyllids and upload the image to a server via the Internet of Things. We captured 420 images with a resolution of 3820 × 2160 using the device. These images, containing various types of pests, were utilized for model experimentation and training. On the server, the diffusion transformer (DiT) is utilized to increase the training data, addressing challenges such as limited sample size and class imbalance. A small object detection head is integrated into YOLOv10 to enhance the capture of shallow features in psyllid images. In addition, the soft nonmaximum suppression method is applied to resolve overlapping issues in counting the psyllids. Finally, the results are uploaded to an app, allowing users to stay informed about citrus pest conditions in real time. The experimental results indicate that DiTs-generated images achieved scores of 76.79, 0.29, and 1.68 in the Frechet inception distance, learned perceptual image patch similarity, and multiscale structural similarity metrics, respectively, outperforming the commonly used DDPM model by 8.51, 0.18, and 0.34, respectively. The improved YOLOv10 model, trained with the expanded DiTs dataset, reached a recall, F1-score, and precision of 90.55%, 92.18%, and 93.88%, respectively, demonstrating outstanding performance across all metrics. This approach enables fully automated recognition of citrus psyllids, facilitating real-time detection and contributing to the protection of citrus crops. © 2023 IEEE.

关键词： Forestry

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