Search Results - "Zhu, Wenqiu"

BGF-YOLOv10: Small Object Detection Algorithm from Unmanned Aerial Vehicle Perspective Based on Improved YOLOv10 by Mei, Junhui, Zhu, Wenqiu

“…With the rapid development of deep learning, unmanned aerial vehicles (UAVs) have acquired intelligent perception capabilities, demonstrating efficient data…”
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YOLO-DRS: A Bioinspired Object Detection Algorithm for Remote Sensing Images Incorporating a Multi-Scale Efficient Lightweight Attention Mechanism by Liao, Huan, Zhu, Wenqiu

“…Bioinspired object detection in remotely sensed images plays an important role in a variety of fields. Due to the small size of the target, complex background…”
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SSD with multi-scale feature fusion and attention mechanism by Liu, Qiang, Dong, Lijun, Zeng, Zhigao, Zhu, Wenqiu, Zhu, Yanhui, Meng, Chen

“…In the field of the Internet of Things, image acquisition equipment is the very important equipment, which will generate lots of invalid data during real-time…”
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Flower image classification based on an improved lightweight neural network with multi-scale feature fusion and attention mechanism by Zeng, Zhigao, Huang, Cheng, Zhu, Wenqiu, Wen, Zhiqiang, Yuan, Xinpan

“…In order to solve the problem that deep learning-based flower image classification methods lose more feature information in the early feature extraction…”
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An Improved RANSAC Algorithm Based on Similar Structure Constraints by Wenqiu Zhu, Wenjing Sun, Yexiang Wang, Shaolin Liu, Keke Xu

“…An improved RANSAC algorithm based on structural similarity was proposed to improve the speed and accuracy of traditional RANSAC (Random Sample Consensus)…”
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3D Reconstruction of Indoor Scenes Using RGB-D Monocular Vision by Sanmao Liu, Wenqiu Zhu, Canqing Zhang, Wenjing Sun

“…Aiming at the problem of low speed of 3D reconstruction of indoor scenes with monocular vision, the color images and depth images of indoor scenes based on…”
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An Enhanced Visual Attention Siamese Network That Updates Template Features Online by Zhu, Wenqiu, Zou, Guang, Liu, Qiang, Zeng, Zhigao

“…Recently, Siamese trackers have attracted extensive attention because of their simplicity and low computational cost. However, for most Siamese trackers, only…”
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Meta-Knowledge Enhanced Data Augmentation for Federated Person Re-Identification by Song, Chunli, Chen, Xiaohua, Zhu, Wenqiu, Zhou, Yucan, Gu, Xiaoyan, Li, Bo

“…federated learning has been introduced into person re-identification (Re-ID) to avoid personal image leakage in traditional centralized training. To address…”
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Kernel optimization strategy based on mean shift by Zhiqiang Wen, Zhigao Zeng, Wenqiu Zhu

“…A kernel optimization strategy based on mean shift was proposed to improve the classification performance of samples. After doing mean shift optimization, the…”
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Bayesian Classification of Halftone Image Based on Region Covariance by Wen, Zhiqiang, Hu, Yongxiang, Zhu, Wenqiu

“…Classification of halftone image is one of the important methods to resolve the optimal reconstruction problems of halftone image. Novel region covariance…”
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Research on the Risk Prevention and Quality Control of Public Hospital Procurement by Lin, Jianbin, Zhong, Xiujuan, Liang, Weiling, Zhu, Wenqiu

“…Through the functional combination of relevant departments involved in hospital procurement, to simplify and unify the work process, we establish a…”
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Noise-Aware Person Re-identification via Local Uncertainty Estimation by Song, Chunli, Zhou, Yucan, Zhu, Wenqiu, Zhou, Jiang, Gu, Xiaoyan, Li, Bo

“…Person re-identification aims to retrieve the target person from a large-scale dataset, and its performance highly relies on a large, well-annotated training…”
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