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Siamese Visual Object Tracking: A Survey
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_7openalex-snapshot
Distractor-Aware Siamese Networks for Visual Object Tracking
inferredcites →https://doi.org/10.1007/978-3-030-01261-8_28openalex-snapshot
Triplet Loss in Siamese Network for Object Tracking
inferredcites →https://doi.org/10.1007/978-3-030-03801-4_41openalex-snapshot
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
inferredcites →https://doi.org/10.1007/978-3-030-11009-3_1openalex-snapshot
The Sixth Visual Object Tracking VOT2018 Challenge Results
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot
Edge Boxes: Locating Object Proposals from Edges
inferredcites →https://doi.org/10.1007/978-3-319-16181-5_14openalex-snapshot
The Visual Object Tracking VOT2014 Challenge Results
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_45openalex-snapshot
Learning to Track at 100 FPS with Deep Regression Networks
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-48881-3_54openalex-snapshot
The Visual Object Tracking VOT2016 Challenge Results
inferredcites →https://doi.org/10.1007/978-3-319-48881-3_56openalex-snapshot
Fully-Convolutional Siamese Networks for Object Tracking
inferredcites →https://doi.org/10.1007/s00138-015-0713-yopenalex-snapshot
A survey of datasets for visual tracking
inferredcites →https://doi.org/10.1007/s00371-020-01848-yopenalex-snapshot
A survey on online learning for visual tracking
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1016/j.cviu.2017.10.007openalex-snapshot
Deep compare: A study on using convolutional neural networks to compare image patches
inferredcites →https://doi.org/10.1016/j.knosys.2018.12.011openalex-snapshot
Hierarchical spatial-aware Siamese network for thermal infrared object tracking
inferredcites →https://doi.org/10.1016/j.patcog.2017.11.007openalex-snapshot
Deep visual tracking: Review and experimental comparison
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1109/76.554415openalex-snapshot
The MPEG-4 video standard verification model
inferredcites →https://doi.org/10.1109/9780470544334.ch9openalex-snapshot
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1109/access.2019.2927211openalex-snapshot
Distractor-Aware Visual Tracking by Online Siamese Network
inferredcites →https://doi.org/10.1109/access.2019.2937998openalex-snapshot
Fully Conventional Anchor-Free Siamese Networks for Object Tracking
inferredcites →https://doi.org/10.1109/access.2020.2982261openalex-snapshot
Foreground Information Guidance for Siamese Visual Tracking
inferredcites →https://doi.org/10.1109/access.2020.3004992openalex-snapshot
SiamFF: Visual Tracking With a Siamese Network Combining Information Fusion With Rectangular Window Filtering
inferredcites →https://doi.org/10.1109/access.2020.3019206openalex-snapshot
Stably Adaptive Anti-Occlusion Siamese Region Proposal Network for Real-Time Object Tracking
inferredcites →https://doi.org/10.1109/access.2020.3022351openalex-snapshot
FPSiamRPN: Feature Pyramid Siamese Network With Region Proposal Network for Target Tracking
inferredcites →https://doi.org/10.1109/acpr.2011.6166688openalex-snapshot
Multi-view vehicle detection and tracking in crossroads
inferredcites →https://doi.org/10.1109/avss.2012.64openalex-snapshot
Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance
inferredcites →https://doi.org/10.1109/cisp-bmei.2017.8302003openalex-snapshot
Face recognition based on convolution siamese networks
inferredcites →https://doi.org/10.1109/cvpr.2005.202openalex-snapshot
Learning a Similarity Metric Discriminatively, with Application to Face Verification
inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot
Dimensionality Reduction by Learning an Invariant Mapping
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995347openalex-snapshot
Unbiased look at dataset bias
inferredcites →https://doi.org/10.1109/cvpr.2013.312openalex-snapshot
Online Object Tracking: A Benchmark
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot
FaceNet: A unified embedding for face recognition and clustering
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.158openalex-snapshot
Siamese Instance Search for Tracking
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.145openalex-snapshot
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.685openalex-snapshot
Learning Non-maximum Suppression
inferredcites →https://doi.org/10.1109/cvpr.2017.789openalex-snapshot
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
inferredcites →https://doi.org/10.1109/cvpr.2018.00508openalex-snapshot
A Twofold Siamese Network for Real-Time Object Tracking
inferredcites →https://doi.org/10.1109/cvpr.2018.00510openalex-snapshot
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
inferredcites →https://doi.org/10.1109/cvpr.2018.00935openalex-snapshot
High Performance Visual Tracking with Siamese Region Proposal Network
inferredcites →https://doi.org/10.1109/cvpr.2019.00142openalex-snapshot
Fast Online Object Tracking and Segmentation: A Unifying Approach
inferredcites →https://doi.org/10.1109/cvpr.2019.00441openalex-snapshot
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00900openalex-snapshot
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00630openalex-snapshot
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00670openalex-snapshot
Siamese Box Adaptive Network for Visual Tracking
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01218openalex-snapshot
Rotation Equivariant Siamese Networks for Tracking
inferredcites →https://doi.org/10.1109/cvprw.2016.59openalex-snapshot
Learning by Tracking: Siamese CNN for Robust Target Association
inferredcites →https://doi.org/10.1109/cvprw.2017.275openalex-snapshot
SANet: Structure-Aware Network for Visual Tracking
inferredcites →https://doi.org/10.1109/iccv.2015.357openalex-snapshot
Visual Tracking with Fully Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2017.196openalex-snapshot
Learning Dynamic Siamese Network for Visual Object Tracking
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00314openalex-snapshot
Siamese Networks: The Tale of Two Manifolds
inferredcites →https://doi.org/10.1109/iccv.2019.00411openalex-snapshot
Learning the Model Update for Siamese Trackers
inferredcites →https://doi.org/10.1109/iccv.2019.00502openalex-snapshot
Rethinking ImageNet Pre-Training
inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot
FCOS: Fully Convolutional One-Stage Object Detection
inferredcites →https://doi.org/10.1109/iccvw.2015.79openalex-snapshot
The Visual Object Tracking VOT2015 Challenge Results
inferredcites →https://doi.org/10.1109/iccvw.2017.230openalex-snapshot
The Visual Object Tracking VOT2017 Challenge Results
inferredcites →https://doi.org/10.1109/iccvw.2019.00276openalex-snapshot
The Seventh Visual Object Tracking VOT2019 Challenge Results
inferredcites →https://doi.org/10.1109/iccvw.2019.00281openalex-snapshot
Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes
inferredcites →https://doi.org/10.1109/icip.2017.8296462openalex-snapshot
Siamese recurrent architecture for visual tracking
inferredcites →https://doi.org/10.1109/icme.2018.8486454openalex-snapshot
Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412120openalex-snapshot
Tackling Occlusion in Siamese Tracking with Structured Dropouts
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412625openalex-snapshot
SiamMT: Real-Time Arbitrary Multi-Object Tracking
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852059openalex-snapshot
Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding
inferredcites →https://doi.org/10.1109/tcsvt.2017.2757061openalex-snapshot
Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking
inferredcites →https://doi.org/10.1109/tip.2012.2206035openalex-snapshot
Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation
inferredcites →https://doi.org/10.1109/tip.2019.2942506openalex-snapshot
DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking
inferredcites →https://doi.org/10.1109/tip.2019.2959256openalex-snapshot
Local Semantic Siamese Networks for Fast Tracking
inferredcites →https://doi.org/10.1109/tip.2020.3036723openalex-snapshot
Siamese Regression Tracking With Reinforced Template Updating
inferredcites →https://doi.org/10.1109/tits.2020.3046478openalex-snapshot
Deep Learning for Visual Tracking: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/tmm.2020.3008028openalex-snapshot
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
inferredcites →https://doi.org/10.1109/tnnls.2020.3018025openalex-snapshot
Antidecay LSTM for Siamese Tracking With Adversarial Learning
inferredcites →https://doi.org/10.1109/tpami.2013.230openalex-snapshot
Visual Tracking: An Experimental Survey
inferredcites →https://doi.org/10.1109/tpami.2016.2516982openalex-snapshot
A Novel Performance Evaluation Methodology for Single-Target Trackers
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2019.2957464openalex-snapshot
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
inferredcites →https://doi.org/10.1109/wacv48630.2021.00281openalex-snapshot
Scale Equivariance Improves Siamese Tracking
inferredcites →https://doi.org/10.1115/1.3662552openalex-snapshot
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1142/s0218001493000339openalex-snapshot
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
inferredcites →https://doi.org/10.1145/2508037.2508039openalex-snapshot
A survey of appearance models in visual object tracking
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1186/s13638-019-1579-xopenalex-snapshot
Object tracking framework with Siamese network and re-detection mechanism
inferredcites →https://doi.org/10.12783/dtcse/smce2017/12427openalex-snapshot
Deep Learning Based Visual Tracking: A Review
inferredcites →https://doi.org/10.15607/rss.2016.xii.024openalex-snapshot
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues
inferredcites →https://doi.org/10.1609/aaai.v34i07.6828openalex-snapshot
Multi-Task Driven Feature Models for Thermal Infrared Tracking
inferredcites →https://doi.org/10.3390/app10072474openalex-snapshot
Local Feature-Aware Siamese Matching Model for Vehicle Re-Identification
inferredcites →https://doi.org/10.3390/app9183725openalex-snapshot
Siamese Tracking with Adaptive Template-Updating Strategy
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1501.04587openalex-snapshot
Transferring Rich Feature Hierarchies for Robust Visual Tracking
inferredcites →https://doi.org/10.48550/arxiv.1606.05233openalex-snapshot
Learning feed-forward one-shot learners
inferredcites →https://doi.org/10.48550/arxiv.1609.09156openalex-snapshot
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
inferredcites →https://doi.org/10.48550/arxiv.1703.07737openalex-snapshot
In Defense of the Triplet Loss for Person Re-Identification
inferredcites →https://doi.org/10.48550/arxiv.1704.04057openalex-snapshot
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
inferredcites →https://doi.org/10.48550/arxiv.1704.04861openalex-snapshot
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
inferredcites →https://doi.org/10.48550/arxiv.1707.00569openalex-snapshot
An In-Depth Analysis of Visual Tracking with Siamese Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1804.02767openalex-snapshot
YOLOv3: An Incremental Improvement
inferredcites →https://doi.org/10.48550/arxiv.1902.02804openalex-snapshot
SiamVGG: Visual Tracking using Deeper Siamese Networks
inferredcites →https://doi.org/10.48550/arxiv.1909.03413openalex-snapshot
STA: Adversarial Attacks on Siamese Trackers
inferredcites →https://doi.org/10.48550/arxiv.1910.09761openalex-snapshot
A Review of Visual Trackers and Analysis of its Application to Mobile Robot
inferredcites →https://doi.org/10.48550/arxiv.1910.11093openalex-snapshot
Scale-Equivariant Steerable Networks
inferredcites →https://doi.org/10.48550/arxiv.2004.07786openalex-snapshot
Multi-Object Tracking with Siamese Track-RCNN
inferredcites →https://doi.org/10.48550/arxiv.2008.06035openalex-snapshot
Towards Visually Explaining Similarity Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4764503openalex-extracted
Eltrack: Correlating Events and Language for Visual Tracking
inferred← citeshttps://doi.org/10.1007/978-3-031-10551-7_22openalex-snapshot
A Performance of Low-Cost NVIDIA Jetson Nano Embedded System in the Real-Time Siamese Single Object Tracking: A Comparison Study
inferred← citeshttps://doi.org/10.1007/978-3-031-12748-9_13openalex-snapshot
Towards Real-Time and Energy Efficient Siamese Tracking – A Hardware-Software Approach
inferred← citeshttps://doi.org/10.1007/s00034-025-03134-5openalex-snapshot
Siamese Deep Q-Learning Based Online Correlation Filter Adaptation for Visual Object Tracking in Complex Scenarios
inferred← citeshttps://doi.org/10.1007/s00371-025-04309-6openalex-snapshot
UREPtrack: single-branch PoolFormer for unified attention-free RGB-event visual object tracking
inferred← citeshttps://doi.org/10.1007/s00530-022-01043-0openalex-snapshot
Deblurring transformer tracking with conditional cross-attention
inferred← citeshttps://doi.org/10.1007/s10044-023-01157-9openalex-snapshot
Visual object tracking via adaptive deep feature matching and overlap maximization
inferred← citeshttps://doi.org/10.1007/s10462-023-10558-5openalex-snapshot
Siamese object tracking for unmanned aerial vehicle: a review and comprehensive analysis
inferred← citeshttps://doi.org/10.1007/s10462-024-10893-1openalex-snapshot
Deep learning-based authentication for insider threat detection in critical infrastructure
inferred← citeshttps://doi.org/10.1007/s10845-022-01924-1openalex-snapshot
Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks
inferred← citeshttps://doi.org/10.1007/s11063-024-11670-5openalex-snapshot
Siamese Tracking Network with Multi-attention Mechanism
inferred← citeshttps://doi.org/10.1007/s11831-025-10314-8openalex-snapshot
Object Tracking: A Comprehensive Survey of Deep and Traditional Methods
inferred← citeshttps://doi.org/10.1016/j.aej.2025.06.042openalex-snapshot
Visual tracking by matching points using diffusion model
inferred← citeshttps://doi.org/10.1016/j.dsp.2023.103933openalex-snapshot
Adaptive chaotic sampling particle filter to handle occlusion and fast motion in visual object tracking
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104972openalex-snapshot
Learning orientational interaction-aware attention and localization refinement for object tracking
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106988openalex-snapshot
PRAT: Accurate object tracking based on progressive attention
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122013openalex-snapshot
Robust visual tracking with extreme point graph-guided annotation: Approach and experiment
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125451openalex-snapshot
AMTrack:Transformer tracking via action information and mix-frequency features
inferred← citeshttps://doi.org/10.1016/j.ijar.2022.12.003openalex-snapshot
Spatial-temporal single object tracking with three-way decision theory
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103374openalex-snapshot
CLDTracker: A Comprehensive Language Description for visual Tracking
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111665openalex-snapshot
In defense and revival of Bayesian filtering for thermal infrared object tracking
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114581openalex-snapshot
An algorithm for measuring Secchi disk water transparency based on machine vision
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115039openalex-snapshot
Dual UAV-based cross view target position measurement using machine learning and Pix-level matching
inferred← citeshttps://doi.org/10.1016/j.media.2023.102847openalex-snapshot
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction
inferred← citeshttps://doi.org/10.1063/5.0154881openalex-snapshot
Optimizing Siamese neural network with TensorRT on NVIDIA jetson nano
inferred← citeshttps://doi.org/10.1109/acait56212.2022.10137986openalex-snapshot
Recent Advances on Thermal Infrared Target Tracking: A Survey
inferred← citeshttps://doi.org/10.1109/access.2021.3134066openalex-snapshot
Siamese Visual Tracking With Residual Fusion Learning
inferred← citeshttps://doi.org/10.1109/access.2022.3143809openalex-snapshot
Visual Tracking by Adaptive Continual Meta-Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3298440openalex-snapshot
Transformers in Single Object Tracking: An Experimental Survey
inferred← citeshttps://doi.org/10.1109/aim65483.2026.11658362openalex-snapshot
PTZ Camera-Based UAV Localisation Using Pretrained Siamese Visual Networks and Geometric Modelling
inferred← citeshttps://doi.org/10.1109/auteee56487.2022.9994513openalex-snapshot
SiamRPN with Multi-Scale Feature Fusion for Visual Object Tracking
inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10588192openalex-snapshot
An improved Siamese network for object tracking with graph network and attention mechanism
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00540openalex-snapshot
Cross-modal Target Retrieval for Tracking by Natural Language
inferred← citeshttps://doi.org/10.1109/devic63749.2025.11012629openalex-snapshot
An Efficient Object Tracking on Edge Devices with Quantized Siamese Networks
inferred← citeshttps://doi.org/10.1109/icmla55696.2022.00072openalex-snapshot
TrADe Re-ID – Live Person Re-Identification using Tracking and Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icnlp65360.2025.11108572openalex-snapshot
Visual Object Tracking Algorithm Based on Dynamic Template and Position Enhancement
inferred← citeshttps://doi.org/10.1109/icort64008.2025.11115185openalex-snapshot
Closed Loop Performance Enhancement in Real-Time Object Tracking with Multi Tracker Fusion
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00078openalex-snapshot
3D Single Target Tracking Algorithm Based on Dynamic Search Center
inferred← citeshttps://doi.org/10.1109/icscss57650.2023.10169323openalex-snapshot
Extraction of Facial Features using an Efficient Convolution Siamese Network on Customized Dataset
inferred← citeshttps://doi.org/10.1109/jstars.2022.3216564openalex-snapshot
A Comprehensive Review for Typical Applications Based Upon Unmanned Aerial Vehicle Platform
inferred← citeshttps://doi.org/10.1109/lra.2023.3282792openalex-snapshot
On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects
inferred← citeshttps://doi.org/10.1109/tai.2022.3207112openalex-snapshot
A Survey on Siamese Network: Methodologies, Applications, and Opportunities
inferred← citeshttps://doi.org/10.1109/tcbbio.2026.3663936openalex-snapshot
Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
inferred← citeshttps://doi.org/10.1109/tim.2023.3338701openalex-snapshot
Thermal Infrared Target Tracking: A Comprehensive Review
inferred← citeshttps://doi.org/10.1109/tpami.2023.3275034openalex-snapshot
Adaptive Part Mining for Robust Visual Tracking
inferred← citeshttps://doi.org/10.1145/3548606.3559390openalex-snapshot
Physical Hijacking Attacks against Object Trackers
inferred← citeshttps://doi.org/10.1177/00202940231212146openalex-snapshot
A Siamese CNN-BiLSTM-based method for unbalance few-shot fault diagnosis of rolling bearings
inferred← citeshttps://doi.org/10.17485/ijst/v15i40.1395openalex-snapshot
Window Based Min-Max Feature Extraction for Visual Object Tracking
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A ByteTrack Based Lightweight Tracking-by-Detection Method for Stable Maritime Multi-Object Tracking
inferred← citeshttps://doi.org/10.32604/iasc.2022.026264openalex-snapshot
Design Features of Grocery Product Recognition Using Deep Learning
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A Peak-Finding Siamese Convolutional Neural Network (PF-SCNN) for Aero-Engine Hot Jet FT-IR Spectrum Classification
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AR Long-Term Tracking Combining Multi-Attention and Template Updating
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Adaptive Kalman Filter for Real-Time Visual Object Tracking Based on Autocovariance Least Square Estimation
inferred← citeshttps://doi.org/10.3390/app14209246openalex-snapshot
Point of Interest Recognition and Tracking in Aerial Video during Live Cycling Broadcasts
inferred← citeshttps://doi.org/10.3390/bdcc9070187openalex-snapshot
LeONet: A Hybrid Deep Learning Approach for High-Precision Code Clone Detection Using Abstract Syntax Tree Features
inferred← citeshttps://doi.org/10.3390/data8060106openalex-snapshot
Curated Dataset for Red Blood Cell Tracking from Video Sequences of Flow in Microfluidic Devices
inferred← citeshttps://doi.org/10.3390/drones8120700openalex-snapshot
UAV Visual Object Tracking Based on Spatio-Temporal Context
inferred← citeshttps://doi.org/10.3390/electronics12132992openalex-snapshot
Anti-Similar Visual Target Tracking Algorithm Based on Filter Peak Guidance and Fusion Network
inferred← citeshttps://doi.org/10.3390/electronics12173623openalex-snapshot
Efficient and Lightweight Visual Tracking with Differentiable Neural Architecture Search
inferred← citeshttps://doi.org/10.3390/electronics13050811openalex-snapshot
Real-Time Object Detection and Tracking Based on Embedded Edge Devices for Local Dynamic Map Generation
inferred← citeshttps://doi.org/10.3390/eng6110326openalex-snapshot
Optical Flow-Based Algorithms for Real-Time Awareness of Hazardous Events
inferred← citeshttps://doi.org/10.3390/info15060296openalex-snapshot
Object Tracking Based on Optical Flow Reconstruction of Motion-Group Parameters
inferred← citeshttps://doi.org/10.3390/jimaging10030070openalex-snapshot
Enhancing Embedded Object Tracking: A Hardware Acceleration Approach for Real-Time Predictability
inferred← citeshttps://doi.org/10.3390/rs17010052openalex-snapshot
SAT: Spectrum-Adaptive Transformer with Spatial Awareness for UAV Target Tracking
inferred← citeshttps://doi.org/10.3390/s22166090openalex-snapshot
EVtracker: An Event-Driven Spatiotemporal Method for Dynamic Object Tracking
inferred← citeshttps://doi.org/10.3390/s23063270openalex-snapshot
Online Learning-Based Hybrid Tracking Method for Unmanned Aerial Vehicles
inferred← citeshttps://doi.org/10.3390/s23104906openalex-snapshot
SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model
inferred← citeshttps://doi.org/10.3390/s24248120openalex-snapshot
Confidence-Guided Frame Skipping to Enhance Object Tracking Speed
inferred← citeshttps://doi.org/10.3390/sym14071391openalex-snapshot
A Survey on Symmetrical Neural Network Architectures and Applications
inferred← citeshttps://doi.org/10.3390/sym14081689openalex-snapshot
Multi-Type Object Tracking Based on Residual Neural Network Model
inferred← citeshttps://doi.org/10.3390/sym14081732openalex-snapshot
Computational Study of Methods for Determining the Elasticity of Red Blood Cells Using Machine Learning
inferred← citeshttps://doi.org/10.3390/wevj14100272openalex-snapshot
Research on Pedestrian Multi-Object Tracking Network Based on Multi-Order Semantic Fusion
inferred← citeshttps://doi.org/10.36227/techrxiv.19808521openalex-snapshot
Towards real-time and energy efficient Siamese tracking - a hardware-software approach
inferred← citeshttps://doi.org/10.36227/techrxiv.19808521.v1openalex-snapshot
Towards real-time and energy efficient Siamese tracking - a hardware-software approach
inferred← citeshttps://doi.org/10.51173/jt.v5i2.755openalex-snapshot
Object Tracking with the Drone: Systems Analysis
inferred← citeshttps://doi.org/10.5220/0012178900003543openalex-snapshot
Robust Single Object Tracking and Following by Fusion Strategy
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