Fully-Convolutional Siamese Networks for Object Tracking

ImageNet classification with deep convolutional neural networks

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ImageNet Large Scale Visual Recognition Challenge

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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

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High-Speed Tracking with Kernelized Correlation Filters

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Deep Face Recognition

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CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

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Flownet: Learning optical flow with convolutional networks

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DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking

Abdelpakey, M. H., Shehata, M., & Mohamed, M. M. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-03801-4_41 · Cited by 57

Learning From Demonstration in the Wild

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Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking

Wang, X., Chen, Z., Tang, J., Luo, B., Wang, Y., Tian, Y., & Wu, F. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3056684 · Cited by 57

Handling Occlusion in UAV Visual Tracking With Query-Guided Redetection

Xue, Y., Shen, T., Jin, G., Tan, L., Wang, N., Wang, L., & Gao, J. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3440378 · Cited by 56

Attention-based LSTM, GRU and CNN for short text classification

Yu, S., Liu, D., Zhu, W., Zhang, Y., & Zhao, S. (2020) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-191171 · Cited by 57

A Comparative Study of Image Dehazing Algorithms

Parihar, A. S., Gupta, Y., Singodia, Y., Singh, V., & Singh, K. (2020) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces48766.2020.9138037 · Cited by 56

Multi-Feature Fusion in Particle Filter Framework for Visual Tracking

Bhat, P. G., Subudhi, B. N., Veerakumar, T., Laxmi, V., & Gaur, M. S. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2954331 · Cited by 55

SiamAtt: Siamese attention network for visual tracking

Yang, K., He, Z., Zhou, Z., & Fan, N. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.106079 · Cited by 55

DarkLighter: Light Up the Darkness for UAV Tracking

Ye, J., Fu, C., Zheng, G., Cao, Z., & Li, B. (2021) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros51168.2021.9636680 · Cited by 56

Recent advances of target tracking applications in aquaculture with emphasis on fish

Mei, Y., Sun, B., Li, D., Yu, H., Qin, H., Liu, H., Yan, N., & Chen, Y. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107335 · Cited by 60

Robust thermal infrared tracking via an adaptively multi-feature fusion model

Yuan, D., Shu, X., Liu, Q., Zhang, X., & He, Z. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07867-1 · Cited by 55

Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-Modal Retrieval

Zeng, D., Yu, Y., & Oyama, K. (2020) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3387164 · Cited by 55

Robust Tracking Against Adversarial Attacks

Jia, S., Ma, C., Song, Y., & Yang, X. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58529-7_5 · Cited by 57

Tracking Noisy Targets: A Review of Recent Object Tracking ApproachesPreprint

Fiaz, M., Mahmood, A., & Jung, S. K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1802.03098 · Cited by 55

ReCF: Exploiting Response Reasoning for Correlation Filters in Real-Time UAV Tracking

Lin, F., Fu, C., He, Y., Xiong, W., & Li, F. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3094654 · Cited by 54

Monocular Visual Traffic Surveillance: A Review

Zhang, X., Feng, Y., Angeloudis, P., & Demiris, Y. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3147770 · Cited by 54

Gigapixel imaging with a novel multi-camera array microscope

Thomson, E. E., Harfouche, M., Konda, P. C., Seitz, C. W., Kim, K., Cooke, C., Xu, S., Jacobs, W. S., Blazing, R. M., Chen, Y., et al. (2022) · eLife · doi:10.7554/elife.74988 · Cited by 54

Cows' legs tracking and lameness detection in dairy cattle using video analysis and Siamese neural networks

Zheng, Z., Zhang, X., Qin, L., Yue, S., & Zeng, P. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.107618 · Cited by 54

Transformer vision-language tracking via proxy token guided cross-modal fusion

Zhao, H., Wang, X., Wang, D., Lu, H., & Ruan, X. (2023) · Pattern Recognition Letters · doi:10.1016/j.patrec.2023.02.023 · Cited by 57

Bridging the Gap Between Detection and Tracking: A Unified Approach

Huang, L., Zhao, X., & Huang, K. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00410 · Cited by 54

Self-supervised Keypoint Correspondences for Multi-person Pose Estimation and Tracking in Videos

Rafi, U., Doering, A., Leibe, B., & Gall, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58565-5_3 · Cited by 54

Rotation Equivariant Siamese Networks for Tracking

Gupta, D. K., Arya, D., & Gavves, E. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.01218 · Cited by 54

ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking

Li, B., Fu, C., Ding, F., Ye, J., & Lin, F. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561564 · Cited by 55

Spreading Fine-Grained Prior Knowledge for Accurate Tracking

Nie, J., Wu, H., He, Z., Gao, M., & Dong, Z. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3162599 · Cited by 54

An Empirical Study on Retinex Methods for Low-Light Image Enhancement

Rasheed, M. T., Guo, G., Shi, D., Khan, H., & Cheng, X. (2022) · Remote Sensing · doi:10.3390/rs14184608 · Cited by 53

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark

Liu, Q., Li, X., Yuan, D., Yang, C., Chang, X., & He, Z. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3236895 · Cited by 53

Visual Tracking via Dynamic Graph Learning

Li, C., Lin, L., Zuo, W., Tang, J., & Yang, M. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2864965 · Cited by 53

AI Coach

Wang, J., Qiu, K., Peng, H., Fu, J., & Zhu, J. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3350609 · Cited by 53

Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks

Zhang, X., Ye, P., Qiao, D., Zhao, J., Peng, S., & Xiao, G. (2019) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion43075.2019.9011253 · Cited by 54

Complementary Discriminative Correlation Filters Based on Collaborative Representation for Visual Object Tracking

Zhu, X., Wu, X., Xu, T., Feng, Z., & Kittler, J. (2020) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2020.2979480 · Cited by 55

Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking

Fan, J., Song, H., Zhang, K., Yang, K., & Liu, Q. (2020) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2020.2987601 · Cited by 53

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN

Ye, J., Ji, Y., Wang, X., Gao, X., & Song, M. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.01253 · Cited by 54

SiamSTA: Spatio-Temporal Attention based Siamese Tracker for Tracking UAVs

Huang, B., Chen, J.-J., Xu, T., Wang, Y., Jiang, S., Wang, Y., Wang, L., & Li, J.-N. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw54120.2021.00140 · Cited by 40

Learning Localization-Aware Target Confidence for Siamese Visual Tracking

Nie, J., He, Z., Yang, Y., Gao, M., & Dong, Z. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3206668 · Cited by 53

Towards Sequence-Level Training for Visual Tracking

Kim, M., Lee, S., Ok, J., Han, B., & Cho, M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20047-2_31 · Cited by 52

A Lightweight and Detector-Free 3D Single Object Tracker on Point Clouds

Xia, Y., Wu, Q., Li, W., Chan, A. B., & Stilla, U. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3243470 · Cited by 53

Template-guided frequency attention and adaptive cross-entropy loss for UAV visual tracking

Xue, Y., Guodong, J. I. N., Tao, S. H. E. N., Tan, L., & Lianfeng, W. A. N. G. (2023) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2023.03.048 · Cited by 52

P2T: Part-to-Target Tracking via Deep Regression Learning

Gao, J., Zhang, T., Yang, X., & Xu, C. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2813166 · Cited by 52

Radiomics

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Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences

Liu, F., Liu, D., Tian, J., Xie, X., Yang, X., & Wang, K. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101793 · Cited by 53

Disruptor-Aware Interval-Based Response Inconsistency for Correlation Filters in Real-Time Aerial Tracking

Fu, C., Ye, J., Xu, J., He, Y., & Lin, F. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3030265 · Cited by 52

Aberrance suppressed spatio-temporal correlation filters for visual object tracking

Elayaperumal, D., & Joo, Y. H. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107922 · Cited by 52

Few-shot learning for structural health diagnosis of civil infrastructure

Xu, Y., Fan, Y., Bao, Y., & Li, H. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102650 · Cited by 53

M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning

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Robust Object Tracking Using Manifold Regularized Convolutional Neural Networks

Hu, H., Ma, B., Shen, J., Sun, H., Shao, L., & Porikli, F. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2859831 · Cited by 51

Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking

Chen, H., Wu, Q., Liang, Y., Gao, X., & Wang, H. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3350975 · Cited by 51

End-to-end navigation for Autonomous Underwater Vehicle with Hybrid Recurrent Neural Networks

Mu, X., He, B., Zhang, X., Song, Y., Shen, Y., & Feng, C. (2019) · Ocean Engineering · doi:10.1016/j.oceaneng.2019.106602 · Cited by 52

Adaptive Siamese Tracking with a Compact Latent Network

Dong, X., Shen, J., Porikli, F., Luo, J., & Shao, L. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3230064 · Cited by 50

LSFP-Tracker: An Autonomous Laser Stripe Feature Point Extraction Algorithm Based on Siamese Network for Robotic Welding Seam Tracking

Xiao, R., Xu, Y., Xu, F., Zhen, H., Zhang, H., & Chen, S. (2023) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2023.3243265 · Cited by 50

Toward Modalities Correlation for RGB-T Tracking

Hu, X., Zhong, B., Liang, Q., Zhang, S., Li, N., & Li, X. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3396289 · Cited by 51

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results

Wen, L., Zhu, P., Du, D., Bian, X., Ling, H., Hu, Q., Liu, C., Cheng, H., Liu, X., Ma, W., et al. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-11021-5_28 · Cited by 50

Robust Visual Tracking via Constrained Multi-Kernel Correlation Filters

Huang, B., Xu, T., Jiang, S., Chen, Y., & Bai, Y. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.2965482 · Cited by 50

An Overview of Correlation-Filter-Based Object Tracking

Du, S., & Wang, S. (2021) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2021.3093298 · Cited by 50

Distractor-aware visual tracking using hierarchical correlation filters adaptive selection

Zhang, J., Liu, Y., Liu, H., Wang, J., & Zhang, Y. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02694-8 · Cited by 50

IntPhys: A Framework and Benchmark for Visual Intuitive Physics ReasoningPreprint

Riochet, R., Castro, M. Y., Bernard, M., Lerer, A. K., Fergus, R., Véronique Izard, A., & Emmanuel Dupoux, A. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1803.07616 · Cited by 112

EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT

Guo, S., Zhao, C., Wang, G., Yang, J., & Yang, S. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3173685 · Cited by 49

Dynamic Fusion Network for RGBT Tracking

Peng, J., Zhao, H., & Hu, Z. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3229830 · Cited by 51

Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning

Zheng, Y., Yu, Z., Wang, S., & Huang, T. (2022) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3228168 · Cited by 52

Artificial Intelligence Based Object Detection and Tracking for a Small Underwater Robot

Lee, M. R., & Chen, Y. (2023) · Processes · doi:10.3390/pr11020312 · Cited by 49

A Distractor-Aware Memory for Visual Object Tracking with SAM2

Videnović, J., Lukežič, A., & Kristan, M. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02259 · Cited by 49

Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey

Shi, K., He, S., Shi, Z., An-jun, C., Xiong, Z., Chen, J., & Luo, J. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3599596 · Cited by 62

Real-Time Event-Triggered Object Tracking in the Presence of Model Drift and Occlusion

Guan, M., Wen, C., Shan, M., Ng, C.-L., & Zou, Y. Y. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2835390 · Cited by 49

Grid-Based Object Tracking With Nonlinear Dynamic State and Shape Estimation

Steyer, S., Lenk, C., Kellner, D., Tanzmeister, G., & Wollherr, D. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2921248 · Cited by 49

Fully Convolutional Siamese Autoencoder for Change Detection in UAV Aerial Images

Mesquita, D. B., dos Santos, R. F., Macharet, D. G., Campos, M. F. M., & Nascimento, E. R. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2945906 · Cited by 49

Rotation adaptive correlation filter for moving object tracking in satellite videos

Xuan, S., Li, S., Zhao, Z., Zhou, Z., Zhang, W., Tan, H., Xia, G.-S., & Gu, Y. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.01.058 · Cited by 49

Integrated Object Detection and Tracking with Tracklet-Conditioned DetectionPreprint

Zhang, Z., Cheng, D., Zhu, X., Lin, S. C.-F., & Dai, J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1811.11167 · Cited by 49

Efficient Universal Shuffle Attack for Visual Object Tracking

Liu, S., Chen, Z., Li, W., Zhu, J., Wang, J., Zhang, W., & Gan, Z. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9747773 · Cited by 48

Multi-Camera Vehicle Tracking System for AI City Challenge 2022

Li, F., Wang, Z., Nie, D., Zhang, S., Jiang, X., Zhao, X., & Hu, P. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00369 · Cited by 48

MATNet: A Combining Multi-Attention and Transformer Network for Hyperspectral Image Classification

Zhang, B., Chen, Y., Rong, Y., Xiong, S., & Lu, X. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3254523 · Cited by 48

One-Stream Vision-Language Memory Network for Object Tracking

Zhang, H., Wang, J., Zhang, J., Zhang, T., & Zhong, B. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3285441 · Cited by 52

Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers

Zhu, Z., Hou, J., & Wu, D. O. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02015 · Cited by 52

3D Object Tracking with Transformer

Cui, Y., Fang, Z., Shan, J., Gu, Z., & Zhou, S. (2021) · British Machine Vision Conference (BMVC) · doi:10.5244/c.35.397 · Cited by 48

Joint Representation and Truncated Inference Learning for Correlation Filter Based Tracking

Yao, Y., Wu, X., Lei Zhang, A., Shan, S., & Zuo, W. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01240-3_34 · Cited by 48

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

Wang, Y., Chen, Y., Choi, J., & Kuo, C. ‐. J. (2019) · APSIPA Transactions on Signal and Information Processing · doi:10.1017/atsip.2018.30 · Cited by 48

Multifocus image fusion using convolutional neural networks in the discrete wavelet transform domain

Wang, Z., Li, X., Duan, H., Zhang, X., & Wang, H. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08070-6 · Cited by 48

Visual Object Tracking in First Person Vision

Dunnhofer, M., Furnari, A., Farinella, G. M., & Micheloni, C. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01694-6 · Cited by 52

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

Li, L., Zhou, T., Wang, W., Yang, L., Li, J., & Yang, Y. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00852 · Cited by 48

Recent Advances in Intelligent Processing of Satellite Video: Challenges, Methods, and Applications

Li, S., Sun, X., Gu, Y., Lv, Y., Zhao, M., Zhou, Z., Guo, W., Sun, Y., Wang, H., & Yang, J. B. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3296451 · Cited by 47

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment

Zhang, C., Xin, S., Yang, Y., Liu, L., Liu, Q., Zhou, X., & Wang, Y. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3611803 · Cited by 50

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking

Xie, F., Wang, Z., & Ma, C. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01808 · Cited by 58

A Survey on Big Multimedia Data Processing and Management in Smart Cities

Usman, M., Jan, M. A., He, X., & Chen, J. (2019) · ACM Computing Surveys · doi:10.1145/3323334 · Cited by 47

Intermittent Contextual Learning for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature

Li, Y., Fu, C., Huang, Z., Zhang, Y., & Pan, J. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.2990064 · Cited by 47

SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images

Sun, Y., Huang, X., Zhou, H., & Zhang, Q. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102142 · Cited by 47

Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach

Wang, X., Tang, J., Luo, B., Wang, Y., Tian, Y., & Wu, F. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3083933 · Cited by 46

Object Tracking in Satellite Videos: Correlation Particle Filter Tracking Method With Motion Estimation by Kalman Filter

Li, Y., Bian, C., & Chen, H. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3204105 · Cited by 48

Siamese residual network for efficient visual tracking

Fan, N., Liu, Q., Li, X., Zhou, Z., & He, Z. (2023) · Information Sciences · doi:10.1016/j.ins.2022.12.082 · Cited by 46

EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention

Wang, J., Lai, C., Wang, Y., & Zhang, W. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106110 · Cited by 47

Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences

Gomariz, Á., Li, W., Özkan, E., Tanner, C., & Göksel, O. (2019) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2019.8759382 · Cited by 46

Mitigating long tail effect in recommendations using few shot learning technique

Sreepada, R. S., & Patra, B. K. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.112887 · Cited by 49

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

Li, J., Xu, J., Zhong, F., Kong, X., Qiao, Y., & Wang, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i01.5419 · Cited by 46

Embedded UAV Real-Time Visual Object Detection and Tracking

Nousi, P., Mademlis, I., Karakostas, I., Tefas, A., & Pitas, I. (2019) · IEEE International Conference on Real-time Computing and Robotics (RCAR) · doi:10.1109/rcar47638.2019.9043931 · Cited by 46

Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking

Guo, Q., Han, R., Feng, W., Chen, Z., & Wan, L. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2955292 · Cited by 45

Progressive Unsupervised Learning for Visual Object Tracking

Wu, Q., Wan, J., & Chan, A. B. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00301 · Cited by 45

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking

Peng, J., Jiang, Z., Gu, Y., Wu, Y., Wang, Y., Tai, Y. Y., Wang, C., & Lin, W. (2021) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2021/132 · Cited by 47

MobileTrack: Siamese efficient mobile network for high‐speed UAV tracking

Xue, Y., Jin, G., Shen, T., Tan, L., Yang, J., & Hou, X. (2022) · IET Image Processing · doi:10.1049/ipr2.12565 · Cited by 45

Detection and tracking of safety helmet based on DeepSort and YOLOv5

Song, H., Zhang, X., Song, J., & Zhao, J. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13305-0 · Cited by 45

Cross-Drone Transformer Network for Robust Single Object Tracking

Chen, G., Zhu, P., Cao, B., Wang, X., & Hu, Q. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3281557 · Cited by 47

Deep-LK for Efficient Adaptive Object Tracking

Wang, C., Galoogahi, H. K., Lin, C.-H., & Lucey, S. (2018) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2018.8460815 · Cited by 45

S2SiamFC

Sio, C. H., Ma, Y.-J., Shuai, H.-H., Chen, J.-C., & Cheng, W.-H. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413611 · Cited by 45

MaskNet: A Fully-Convolutional Network to Estimate Inlier Points

Sarode, V., Dhagat, A., Srivatsan, R. A., Zevallos, N., Lucey, S., & Choset, H. (2020) · International Conference on 3D Vision · doi:10.1109/3dv50981.2020.00113 · Cited by 38

Deep Feature Based Siamese Network for Visual Object Tracking

Lim, S.-C., Huh, J., & Kim, J.-C. (2022) · Energies · doi:10.3390/en15176388 · Cited by 3

Real-time object tracking based on improved fully-convolutional siamese network

Xu, H., & Zhu, Y. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106755 · Cited by 12

Template Update Based on 3D-Convolutional Siamese Network for Object Tracking

Lu, X., Wang, X., Wang, Z., & Hei, X. (2021) · Asia Conference on Computers and Communications (ACCC) · doi:10.1109/accc54619.2021.00016

Visual tracking using Siamese convolutional neural network with region proposal and domain specific updating

Zhang, H., Ni, W., Yan, W., Wu, J., Hui, B., & Xiang, D. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.11.050 · Cited by 28

Siamese Trackers Based on Deep Features for Visual Tracking

Lim, S.-C., Huh, J., & Kim, J.-C. (2023) · Electronics · doi:10.3390/electronics12194140 · Cited by 1