Results 1 to 10 of about 104,585 (105)

Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification [PDF]

Bioengineering
Cervical cancer is a major health concern worldwide, highlighting the urgent need for better early detection methods to improve outcomes for patients.
Zhenchen Hong, Yu K Mo
exaly   +4 more sources

Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Mathematics, 2023
With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning becomes prohibitively expensive and practically infeasible.
Chen Man
exaly   +3 more sources

Low-rank adaptation for edge AI [PDF]

Scientific Reports
The 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
doaj   +2 more sources

Convolutional low-rank adaptation for efficient semantic segmentation in vision transformers [PDF]

Scientific Reports
Vision Transformers (ViTs) have shown remarkable performance across various computer vision tasks, but their fine-tuning for dense prediction tasks such as semantic segmentation remains computationally intensive.
Srihari Srinivasan, Morvin Prajapati, Ananthakrishna Thalengala, Deepu Raveendran, Chevuru Sai Jaswanth   +4 more
doaj   +2 more sources

Lightweight bearing fault diagnosis via decoupled distillation and low rank adaptation [PDF]

Scientific Reports
Rolling 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, Pengyi Li, Yulong He, Jiarui Liu, Zhaoruikun Sun, Guofeng Fu, Liping Meng   +6 more
doaj   +2 more sources

Multi-scene camera relocalization via modulated coordinate regression and low-rank adaptation [PDF]

Scientific Reports
Camera 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, Levent Karacan, Barış Ata   +2 more
doaj   +2 more sources

KnitLoRA: bridging low-rank adaptation as interwoven layers for deeper semantic reasoning [PDF]

Scientific Reports
Low-Rank Adaptation (LoRA) is a parameter-efficient fine-tuning (PEFT) method that facilitates the lightweight adaptation of large language models (LLMs) by introducing low-rank update matrices, and has since motivated the development of various ...
Hongjie Qiu, Youyou Ning, Jinqiang Li, Xiangrong Zhu, Yifan Gong, Liqi Yan, Fangli Guan, Jianhui Zhang, Fuli Feng, Zenglin Xu, Qifan Wang, Pan Li   +11 more
doaj   +2 more sources

From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection [PDF]

Sensors
Structural damage detection using the finite element method is inherently formulated as an inverse problem, often suffering from ill-posedness and high sensitivity to measurement noise.
Jaedong Kim, Haesu Kang, Sungyong Chang
doaj   +2 more sources

MemLoTrack: Enhancing TIR Anti-UAV Tracking with Memory-Integrated Low-Rank Adaptation [PDF]

Sensors
Tracking 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
doaj   +2 more sources

Fine-Tuned Segment Anything Model with Low-Rank Adaptation for Chest X-Ray Images [PDF]

Diagnostics
Background: This paper investigates the use of the Segment Anything Model (SAM) for chest X-ray (CXR) image segmentation, with a focus on improving its performance using low-rank adaptation (LoRA).
Saeed S. Alahmari, Michael R. Gardner, Fawaz Alqahtani, Tawfiq Salem   +3 more
doaj   +2 more sources