{"total":74,"rows":[{"id":"2103.17154","title":"Learning Spatio-Temporal Transformer for Visual Tracking","created":"2021-03-31","cited_by_count":350,"area":null},{"id":"2203.11991","title":"Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework","created":"2022-03-22","cited_by_count":330,"area":null},{"id":"2303.06674","title":"Universal Instance Perception as Object Discovery and Retrieval","created":"2023-03-12","cited_by_count":192,"area":null},{"id":"2207.09603","title":"AiATrack: Attention in Attention for Transformer Visual Tracking","created":"2022-07-20","cited_by_count":137,"area":null},{"id":"2103.16556","title":"Learning Target Candidate Association to Keep Track of What Not to Track","created":"2021-03-30","cited_by_count":131,"area":null},{"id":"2108.05015","title":"VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows","created":"2021-08-11","cited_by_count":129,"area":null},{"id":"2103.16746","title":"Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark","created":"2021-03-31","cited_by_count":126,"area":null},{"id":"2112.00995","title":"SwinTrack: A Simple and Strong Baseline for Transformer Tracking","created":"2021-12-02","cited_by_count":126,"area":null},{"id":"2203.11192","title":"Transforming Model Prediction for Tracking","created":"2022-03-21","cited_by_count":117,"area":null},{"id":"2104.00324","title":"STMTrack: Template-free Visual Tracking with Space-time Memory Networks","created":"2021-04-01","cited_by_count":91,"area":null},{"id":"2204.04120","title":"Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline","created":"2022-04-08","cited_by_count":91,"area":null},{"id":"2308.05140","title":"Robust Object Modeling for Visual Tracking","created":"2023-08-09","cited_by_count":80,"area":null},{"id":"2311.02072","title":"HIPTrack: Visual Tracking with Historical Prompts","created":"2023-11-03","cited_by_count":71,"area":null},{"id":"2403.09634","title":"OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning","created":"2024-03-14","cited_by_count":65,"area":null},{"id":"2211.11010","title":"Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric","created":"2022-11-20","cited_by_count":52,"area":null},{"id":"2205.10851","title":"Vision-based Anti-UAV Detection and Tracking","created":"2022-05-22","cited_by_count":44,"area":null},{"id":"2203.11191","title":"Robust Visual Tracking by Segmentation","created":"2022-03-21","cited_by_count":38,"area":null},{"id":"2205.03776","title":"SparseTT: Visual Tracking with Sparse Transformers","created":"2022-05-08","cited_by_count":36,"area":null},{"id":"2101.08466","title":"Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking","created":"2021-01-21","cited_by_count":31,"area":null},{"id":"2401.01244","title":"Temporal Adaptive RGBT Tracking with Modality Prompt","created":"2024-01-02","cited_by_count":30,"area":null},{"id":"2301.03213","title":"EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset","created":"2023-01-09","cited_by_count":27,"area":null},{"id":"2103.14938","title":"IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking","created":"2021-03-27","cited_by_count":25,"area":null},{"id":"2209.13502","title":"Visual Object Tracking in First Person Vision","created":"2022-09-27","cited_by_count":25,"area":null},{"id":"2304.00571","title":"DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks","created":"2023-04-02","cited_by_count":22,"area":null},{"id":"2108.13665","title":"Is First Person Vision Challenging for Object Tracking?","created":"2021-08-31","cited_by_count":21,"area":null},{"id":"2304.14394","title":"Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking","created":"2023-04-27","cited_by_count":21,"area":null},{"id":"2405.17773","title":"XTrack: Multimodal Training Boosts RGB-X Video Object Trackers","created":"2024-05-28","cited_by_count":21,"area":null},{"id":"2110.13259","title":"Active Learning for Deep Visual Tracking","created":"2021-10-17","cited_by_count":19,"area":null},{"id":"2202.13073","title":"Global Instance Tracking: Locating Target More Like Humans","created":"2022-02-26","cited_by_count":18,"area":null},{"id":"2208.08829","title":"Learning Spatial-Frequency Transformer for Visual Object Tracking","created":"2022-08-18","cited_by_count":18,"area":null},{"id":"2103.16086","title":"Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking","created":"2021-03-30","cited_by_count":17,"area":null},{"id":"2104.00829","title":"Learning to Filter: Siamese Relation Network for Robust Tracking","created":"2021-04-02","cited_by_count":15,"area":null},{"id":"2507.05899","title":"What You Have is What You Track: Adaptive and Robust Multimodal Tracking","created":"2025-07-08","cited_by_count":15,"area":null},{"id":"2105.03817","title":"TrTr: Visual Tracking with Transformer","created":"2021-05-09","cited_by_count":14,"area":null},{"id":"2107.12085","title":"Learning to Adversarially Blur Visual Object Tracking","created":"2021-07-26","cited_by_count":14,"area":null},{"id":"2108.09909","title":"The 2nd Anti-UAV Workshop & Challenge: Methods and Results","created":"2021-08-23","cited_by_count":13,"area":null},{"id":"2104.12041","title":"Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy","created":"2021-04-25","cited_by_count":11,"area":null},{"id":"2212.11920","title":"Beyond SOT: Tracking Multiple Generic Objects at Once","created":"2022-12-22","cited_by_count":11,"area":null},{"id":"2503.12888","title":"UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2406.20024","title":"eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking","created":"2024-06-28","cited_by_count":10,"area":null},{"id":"2505.19434","title":"CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features","created":"2025-05-26","cited_by_count":10,"area":null},{"id":"2305.07290","title":"The 3rd Anti-UAV Workshop & Challenge: Methods and Results","created":"2023-05-12","cited_by_count":9,"area":null},{"id":"2203.16092","title":"Global Tracking via Ensemble of Local Trackers","created":"2022-03-30","cited_by_count":8,"area":null},{"id":"2310.15066","title":"Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge","created":"2023-10-23","cited_by_count":8,"area":null},{"id":"2106.04840","title":"Tracking by Joint Local and Global Search: A Target-aware Attention based Approach","created":"2021-06-09","cited_by_count":7,"area":null},{"id":"2111.04264","title":"Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark","created":"2021-11-08","cited_by_count":7,"area":null},{"id":"2312.14471","title":"Prototype-based Cross-Modal Object Tracking","created":"2023-12-22","cited_by_count":7,"area":null},{"id":"2205.09676","title":"Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search","created":"2022-05-19","cited_by_count":6,"area":null},{"id":"2312.09723","title":"Tracking Skiers from the Top to the Bottom","created":"2023-12-15","cited_by_count":6,"area":null},{"id":"2112.06467","title":"An Informative Tracking Benchmark","created":"2021-12-13","cited_by_count":5,"area":null},{"id":"2408.08315","title":"Segment Anything for Videos: A Systematic Survey","created":"2024-07-31","cited_by_count":5,"area":null},{"id":"2501.07806","title":"Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation","created":"2025-01-14","cited_by_count":4,"area":null},{"id":"2511.08007","title":"EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision","created":"2025-11-11","cited_by_count":3,"area":null},{"id":"2104.15049","title":"Updatable Siamese Tracker with Two-stage One-shot Learning","created":"2021-04-30","cited_by_count":2,"area":null},{"id":"2204.11410","title":"Single Object Tracking Research: A Survey","created":"2022-04-25","cited_by_count":2,"area":null},{"id":"2205.04261","title":"CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking","created":"2022-05-09","cited_by_count":2,"area":null},{"id":"2310.19542","title":"AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking","created":"2023-10-30","cited_by_count":2,"area":null},{"id":"2411.10503","title":"Everything is a Video: Unifying Modalities through Next-Frame Prediction","created":"2024-11-15","cited_by_count":2,"area":null},{"id":"2107.02984","title":"Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking","created":"2021-07-07","cited_by_count":1,"area":null},{"id":"2403.16395","title":"Multi-attention Associate Prediction Network for Visual Tracking","created":"2024-03-25","cited_by_count":1,"area":null},{"id":"2407.19430","title":"Progressive Domain Adaptation for Thermal Infrared Object Tracking","created":"2024-07-28","cited_by_count":1,"area":null},{"id":"2502.18143","title":"LightFC-X: Lightweight Convolutional Tracker for RGB-X Tracking","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2505.19990","title":"Progressive Scaling Visual Object Tracking","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2508.01592","title":"DMTrack: Spatio-Temporal Multimodal Tracking via Dual-Adapter","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2511.16227","title":"SwiTrack: Tri-State Switch for Cross-Modal Object Tracking","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2512.02668","title":"UAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2601.04798","title":"Detector-Augmented SAMURAI for Long-Duration Drone Tracking","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2103.15105","title":"Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network","created":"2021-03-28","cited_by_count":0,"area":null},{"id":"2112.14016","title":"Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking","created":"2021-12-28","cited_by_count":0,"area":null},{"id":"2203.03181","title":"Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking","created":"2022-03-07","cited_by_count":0,"area":null},{"id":"2211.13812","title":"Improving Siamese Based Trackers with Light or No Training through Multiple Templates and Temporal Network","created":"2022-11-24","cited_by_count":0,"area":null},{"id":"2309.09078","title":"Unsupervised Green Object Tracker (GOT) without Offline Pre-training","created":"2023-09-16","cited_by_count":0,"area":null},{"id":"2407.15707","title":"Predicting the Best of N Visual Trackers","created":"2024-07-22","cited_by_count":0,"area":null},{"id":"2609.35539","title":"Learning to Reason with Persistent Object States for Video Instance Segmentation","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}