Learning target-aware vision transformers for real-time UAV tracking
In recent years, the field of unmanned aerial vehicle (UAV) tracking has grown rapidly,
finding numerous applications across various industries. While the discriminative correlation …
finding numerous applications across various industries. While the discriminative correlation …
Tracking reflected objects: a benchmark
X Guo, P Zhong, L Lin, H Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Visual tracking has made great progress recently, thanks to large-scale training datasets.
These datasets have enabled the development of highly accurate tracking algorithms …
These datasets have enabled the development of highly accurate tracking algorithms …
Enhancing UAV tracking: a focus on discriminative representations using contrastive instances
Addressing the core challenges of achieving both high efficiency and precision in UAV
tracking is crucial due to limitations in computing resources, battery capacity, and maximum …
tracking is crucial due to limitations in computing resources, battery capacity, and maximum …
Learning Adaptive and View-Invariant Vision Transformer with Multi-Teacher Knowledge Distillation for Real-Time UAV Tracking
Y Wu, Y Li, M Liu, X Wang, X Yang, H Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
Visual tracking has made significant strides due to the adoption of transformer-based
models. Most state-of-the-art trackers struggle to meet real-time processing demands on …
models. Most state-of-the-art trackers struggle to meet real-time processing demands on …
Real-Time UAV Tracking Through Disentangled Representation With Mutual Information Maximization
H Ye, X Yang, Y Wu, X Wang, Y Li, S Li - IEEE Access, 2024 - ieeexplore.ieee.org
Efficient UAV tracking faces challenges due to limited onboard resources, short battery life,
and payload constraints. Discriminative correlation filters (DCF)-based trackers have …
and payload constraints. Discriminative correlation filters (DCF)-based trackers have …