Search Results - "Jifeng, Shen"

Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging by Jun, Sun, Xin, Zhou, Xiaohong, Wu, Bing, Lu, Chunxia, Dai, Jifeng, Shen

“…The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determination of heavy metal content in tomato leaves under different…”
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Detection of tomato organs based on convolutional neural network under the overlap and occlusion backgrounds by Sun, Jun, He, Xiaofei, Wu, Minmin, Wu, Xiaohong, Shen, Jifeng, Lu, Bing

“…Traditional detection methods are not sensitive to small-sized tomato organs (flowers and fruits), because the immature green tomatoes are highly similar to…”
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EfficientFace: an efficient deep network with feature enhancement for accurate face detection by Wang, Guangtao, Li, Jun, Wu, Zhijian, Xu, Jianhua, Shen, Jifeng, Yang, Wankou

“…In recent years, deep convolutional neural networks (CNN) have significantly advanced face detection. In particular, lightweight CNN-based architectures have…”
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Segmentation and recognition of filed sweet pepper based on improved self-attention convolutional neural networks by Zhu, Weidong, Sun, Jun, Wang, Simin, Yang, Kaifeng, Shen, Jifeng, Zhou, Xin

“…Automatic and accurate recognition of the parts to be picked is the key to realize the intelligent picking of sweet pepper. However, pepper fruits are always…”
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ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data by Yu, Hualong, Sun, Changyin, Yang, Xibei, Yang, Wankou, Shen, Jifeng, Qi, Yunsong

“…•The reason of the damage caused by class imbalance for ELM is analyzed in theory.•The influence factors about the performance of ELM on skewed data are…”
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Improving multispectral pedestrian detection with scale‐aware permutation attention and adjacent feature aggregation by Zuo, Xin, Wang, Zhi, Shen, Jifeng, Yang, Wankou

“…Abstract High quality feature fusion module is one of the key components for multispectral pedestrian detection system in challenging situations, such as…”
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Apple Leaf Disease Recognition and Sub-Class Categorization Based on Improved Multi-Scale Feature Fusion Network by Luo, Yuanqiu, Sun, Jun, Shen, Jifeng, Wu, Xiaohong, Wang, Long, Zhu, Weidong

“…Apple diseases cause a lot of economic losses to fruit growers in China. Early diagnosis and accurate recognition of apple diseases can control the spread of…”
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Beet seedling and weed recognition based on convolutional neural network and multi-modality images by Sun, Jun, Yang, Kaifeng, He, Xiaofei, Luo, Yuanqiu, Wu, Xiaohong, Shen, Jifeng

“…Difficulties in the recognition of beet seedlings and weeds can arise from a complex background in the natural environment and a lack of light at night. In the…”
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Multi-Granularity Feature Aggregation with Self-Attention and Spatial Reasoning for Fine-Grained Crop Disease Classification by Zuo, Xin, Chu, Jiao, Shen, Jifeng, Sun, Jun

“…Combining disease categories and crop species leads to complex intra-class and inter-class differences. Significant intra-class difference and subtle…”
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Identification of crop diseases using improved convolutional neural networks by Long Wang, Jun Sun, Xiaohong Wu, Jifeng Shen, Bing Lu, Wenjun Tan

“…Conventional AlexNet has the problems of slow training speed, single characteristic scale and low recognition accuracy. To solve these problems, a…”
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Learnable Cross-Scale Sparse Attention Guided Feature Fusion for UAV Object Detection by Zuo, Xin, Qi, Chenhui, Chen, Yifei, Shen, Jifeng, Fan, Heng, Yang, Wankou

“…Object detection in Unmanned Aerial Vehicle (UAVs) faces a significant challenge in computer vision. Traditional methods are difficult to model object…”
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Detection of Key Organs in Tomato Based on Deep Migration Learning in a Complex Background by Sun, Jun, He, Xiaofei, Ge, Xiao, Wu, Xiaohong, Shen, Jifeng, Song, Yingying

“…In the current natural environment, due to the complexity of the background and the high similarity of the color between immature green tomatoes and the plant,…”
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Identifying Field Crop Diseases Using Transformer-Embedded Convolutional Neural Network by Zhu, Weidong, Sun, Jun, Wang, Simin, Shen, Jifeng, Yang, Kaifeng, Zhou, Xin

“…The yield and security of grain are seriously infringed on by crop diseases, which are the critical factor hindering the green and high-quality development of…”
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A Shallow–Deep Feature Fusion Method for Pedestrian Detection by Liu, Daxue, Zang, Kai, Shen, Jifeng

“…In this paper, a shallow–deep feature fusion (SDFF) method is developed for pedestrian detection. Firstly, we propose a shallow feature-based method under the…”
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PARDet: Dynamic point set alignment for rotated object detection by Xu, Yihao, Shen, Jifeng, Dai, Ming, Yang, Wankou

“…Due to the inherent mismatch between rotated objects and horizontal features, feature point misalignment has been a challenge in the task of Rotated Object…”
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SSPNet: Scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition by Shen, Jifeng, Guo, Teng, Zuo, Xin, Fan, Heng, Yang, Wankou

“…Global feature based Pedestrian Attribute Recognition (PAR) models are often poorly localized when using Grad-CAM for attribute response analysis, which has a…”
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Face recognition using DT-CWT feature-based 2DIFDA by Sun, Zhongxi, Sun, Changyin, Shen, Jifeng, Yang, Wankou

“…This paper introduces a novel DT-CWT feature-based Two-dimensional Inverse FDA (2DIFDA) by integrating the Dual-Tree Complex Wavelet Transform (DT-CWT) of face…”
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ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection by Shen, Jifeng, Chen, Yifei, Liu, Yue, Zuo, Xin, Fan, Heng, Yang, Wankou

“…Effective feature fusion of multispectral images plays a crucial role in multispectral object detection. Previous studies have demonstrated the effectiveness…”
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Learning Discriminative Features Based on Distribution by Jifeng Shen, Wankou Yang, Changyin Sun

“…In this paper, a novel feature named adaptive projection LBP (APLBP) is proposed for face detection. To promote discriminative power, the distribution…”
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Topology-aware mamba for crack segmentation in structures by Zuo, Xin, Sheng, Yu, Shen, Jifeng, Shan, Yongwei

“…CrackMamba, a Mamba-based model, is designed for efficient and accurate crack segmentation for monitoring the structural health of infrastructure. Traditional…”
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