Leveraging the Power of Data Augmentation for Transformer-based Tracking

DeforT: Deformable transformer for visual tracking

K Yang, Q Li, C Tian, H Zhang, A Shi, J Li - Neural Networks, 2024 - Elsevier
Most trackers formulate visual tracking as common classification and regression (ie,
bounding box regression) tasks. Correlation features that are computed through depth-wise …
被引用次数：3 相关文章 所有 4 个版本

Selective information flow for transformer tracking

J Kugarajeevan, K Thanikasalam, A Ramanan… - Expert Systems with …, 2024 - Elsevier
Fully transformer-based one-stream trackers have demonstrated outstanding performance
on challenging benchmark datasets over the past three years. These trackers enable …
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Enhancing visual tracking with a unified temporal Transformer framework

T Zhang, Z Jin, K Debattista, Q Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Visual object tracking is an essential research topic in computer vision with numerous
practical applications including visual surveillance systems, autonomous vehicles and …
被引用次数：1 相关文章

HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking

T Liu, J Li, A Beheshti, J Wu, J Chang… - … Transactions on Big …, 2024 - ieeexplore.ieee.org
Transformers-based trackers offer significant potential for integrating semantic
interdependence between template and search features in tracking tasks. Transformers …
相关文章 所有 3 个版本