MemLoTrack: Enhancing TIR Anti-UAV Tracking with Memory-Integrated Low-Rank Adaptation [PDF]
SensorsTracking small, fast-moving unmanned aerial vehicles (UAVs) in thermal infrared (TIR) imagery is a significant challenge due to low-resolution targets, Dynamic Background Clutter, and frequent occlusions. To address this, we introduce MemLoTrack, a novel
Jae Kwan Park, Ji-Hyeong Han
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Low-rank adaptation for edge AI [PDF]
Scientific ReportsThe rapid advancement of edge artificial intelligence (AI) has unlocked transformative applications across various domains. However, it also poses significant challenges in efficiently updating models on edge devices, which are often constrained by ...
Zhixue Wang, Hongyao Ma, Jiahui Zhai
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Lightweight bearing fault diagnosis via decoupled distillation and low rank adaptation [PDF]
Scientific ReportsRolling bearing fault detection has developed rapidly in the field of fault diagnosis technology, and it occupies a very important position in this field. Deep learning-based bearing fault diagnosis models have achieved significant success.
Ovanes Petrosian +6 more
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Multi-scene camera relocalization via modulated coordinate regression and low-rank adaptation [PDF]
Scientific ReportsCamera relocalization, the task of estimating a camera’s 6-DoF pose from a single image, typically necessitates training a separate model for each scene or performing fine-tuning to adapt to new environments. In this work, we present a novel approach for
Mehmet Sarıgül +2 more
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A personalized communication efficient federated learning framework with low rank adaptation for intelligent leukemia diagnosis [PDF]
Scientific ReportsLeukemia diagnosis with medical imaging necessitates the development of highly accurate and individualized models that uphold data privacy among institutions. This research proposes a framework named FedPerLoRA-Health, a communication-efficient federated
P. Suresh +2 more
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Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification [PDF]
BioengineeringCervical cancer is a major health concern worldwide, highlighting the urgent need for better early detection methods to improve outcomes for patients.
Zhenchen Hong +3 more
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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification [PDF]
IEEE Open Journal of Engineering in Medicine and BiologyGoal: This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification.
Benjamin P. Veasey, Amir A. Amini
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Cross-domain subcortical brain structure segmentation algorithm based on low-rank adaptation fine-tuning SAM [PDF]
BMC Medical ImagingPurpose Accurate and robust segmentation of anatomical structures in brain MRI provides a crucial basis for the subsequent observation, analysis, and treatment planning of various brain diseases.
Yuan Sui, Qian Hu, Yujie Zhang
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TDA-L: Reducing Latency and Memory Consumption of Test-Time Adaptation for Real-Time Intelligent Sensing [PDF]
SensorsVision–language models learn visual concepts from the supervision of natural language. It can significantly enhance the generalizability of real-time intelligent sensing, such as analyzing camera-captured real-time images for visually impaired users ...
Rahim Hossain +2 more
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Proximal guided hybrid federated learning approach with parameter efficient adaptive intelligence for pneumonia diagnosis [PDF]
Scientific ReportsPneumonia remains a serious worldwide health concern, particularly in low resource countries, where prompt diagnosis is challenging. Early detection relies on chest radiography, but data privacy rules and patient data fragmentation make AI model building
Keerthika P, Suresh P, Nitesh Kumar AR
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