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TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification: 《Machine Intelligence Research》2025年第2期337-351,共15页Yichao Yan Junjie Li Shengcai Liao Jie Qin; Domain generalizable person re-identification(reid)is a challenging task in computer vision,which aims to apply a trained reid model to unseen domains.Prior works either combine the data in all the training domains to...; 关键词：Person re-identification domain generalization image retrieval representation learning computer vision.

A Comprehensive Review of Pill Image Recognition: 《Computers, Materials & Continua》2025年第3期3693-3740,共48页Linh Nguyen Thi My Viet-Tuan Le Tham Vo Vinh Truong Hoang; Pill image recognition is an important field in computer vision.It has become a vital technology in healthcare and pharmaceuticals due to the necessity for precise medication identification to prevent errors and ensur...; 关键词：Pill image recognition pill image identification pill recognition pill identification pill image retrieval pill retrieval computer vision

A Survey of Crime Scene Investigation Image Retrieval Using Deep Learning: 《Journal of Beijing Institute of Technology》2024年第4期271-286,共16页Ying Liu Aodong Zhou Jize Xue Zhijie Xu; Crime scene investigation(CSI)image is key evidence carrier during criminal investiga-tion,in which CSI image retrieval can assist the public police to obtain criminal clues.Moreover,with the rapid development of deep...; 关键词：crime scene investigation(CSI)image image retrieval deep learning

Central similarity consistency hashing for asymmetric image retrieval: 《Computational Visual Media》2024年第4期725-740,共16页Zhaofeng Xuan Dayan Wu Wanqian Zhang Qinghang Su Bo Li Weiping Wang; supported by the National Key R&D Program of China under Grant 2022YFB3103500;the National Natural Science Foundation of China under Grants 62106258 and 62202459;the China Postdoctoral Science Foundation under Grant 2022M713348;Young Elite Scientists Sponsorship Program by BAST(BYESS2023304).; Asymmetric image retrieval methods have drawn much attention due to their effectiveness in resource-constrained scenarios.They try to learn two models in an asymmetric paradigm,i.e.,a small model for the query side an...; 关键词：asymmetric image retrieval deep hashing Hungarian algorithm decoupled manner

Region-Aware Fashion Contrastive Learning for Unified Attribute Recognition and Composed Retrieval: 《Journal of Donghua University(English Edition)》2024年第4期405-415,共11页WANG Kangping ZHAO Mingbo; National Natural Science Foundation of China(No.61971121)。; Clothing attribute recognition has become an essential technology,which enables users to automatically identify the characteristics of clothes and search for clothing images with similar attributes.However,existing me...; 关键词：attribute recognition image retrieval contrastive language-image pre-training(CLIP) image text matching transformer

Enabling edge computing ability in view-independent vehicle model recognition: 《International Journal of Transportation Science and Technology》2024年第2期73-86,共14页Chenglong Liu Ziyuan Pu Yishun Li Ying Jiang Yinhai Wang Yuchuan Du; supported by the Scientific Research Project of Shanghai Science and Technology Commission of China(No.21DZ1200601);the National Natural Science Foundation of China(No.NSFC52108411).; Vehicle model recognition(VMR)benefits the parking,surveillance,and tolling system by automatically identifying the exact make and model of the passing vehicles.Edge computing technology enables the roadside facilitie...; 关键词：Vehicle model recognition Edging computing Convolutional neural network Posture estimation Image retrieval

Construction of apricot variety search engine based on deep learning: 《Horticultural Plant Journal》2024年第2期387-397,共11页Chen Chen Lin Wang Huimin Liu Jing Liu Wanyu Xu Mengzhen Huang Ningning Gou Chu Wang Haikun Bai Gengjie Jia Tana Wuyun; supported by the Fundamental Research Funds for the Central Non-profit Research Institution of the Chinese Academy of Forestry (Grant No.CAFYBB2020ZY003);the Key S&T Project of Inner Mongolia (Grant No.2021ZD0041-001-002);the Central Public-interest Scientific Institution Basal Research Fund (Grant No.11024316000202300001)。; Apricot has a long history of cultivation and has many varieties and types. The traditional variety identification methods are timeconsuming and labor-consuming, posing grand challenges to apricot resource management....; 关键词：APRICOT VARIETY Convolutional neural network Deep learning Database platform Mobile application Image retrieval

A Visual Indoor Localization Method Based on Efficient Image Retrieval: 《Journal of Computer and Communications》2024年第2期47-66,共20页Mengyan Lyu Xinxin Guo Kunpeng Zhang Liye Zhang; The task of indoor visual localization, utilizing camera visual information for user pose calculation, was a core component of Augmented Reality (AR) and Simultaneous Localization and Mapping (SLAM). Existing indoor l...; 关键词：Visual Indoor Positioning Feature Point Matching Image Retrieval Position Calculation Five-Point Method

OSAP‐Loss:Efficient optimization of average precision via involving samples after positive ones towards remote sensing image retrieval: 《CAAI Transactions on Intelligence Technology》2023年第4期1191-1212,共22页Xin Yuan Xin Xu Xiao Wang Kai Zhang Liang Liao Zheng Wang Chia‐Wen Lin; supported by the National Nature Science Foundation of China(No.U1803262,62176191,62171325);Nature Science Foundation of Hubei Province(2022CFB018);financially supported by fund from Hubei Province Key Laboratory of Intelligent Information Processing and Real‐time Industrial System(Wuhan University of Science and Technology)(ZNXX2022001).; In existing remote sensing image retrieval(RSIR)datasets,the number of images among different classes varies dramatically,which leads to a severe class imbalance problem.Some studies propose to train the model with th...; 关键词：computer vision image retrieval metric learning

Image Retrieval Based on Vision Transformer and Masked Learning被引量：5: 《Journal of Donghua University(English Edition)》2023年第5期539-547,共9页李锋潘煌圣盛守祥王国栋; the Project of Introducing Urgently Needed Talents in Key Supporting Regions of Shandong Province,China(No.SDJQP20221805)。; Deep convolutional neural networks(DCNNs)are widely used in content-based image retrieval(CBIR)because of the advantages in image feature extraction.However,the training of deep neural networks requires a large number...; 关键词：content-based image retrieval vision transformer masked autoencoder feature extraction

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