Adaptively bypassing vision transformer blocks for efficient visual tracking
Empowered by transformer-based models, visual tracking has advanced significantly.
However, the slow speed of current trackers limits their applicability on devices with …
However, the slow speed of current trackers limits their applicability on devices with …
EMTrack: Efficient Multimodal Object Tracking
Multi-modal object tracking has received increasing attention, given the limitations the
representation ability in certain challenging scenarios of single RGB modality. Recent …
representation ability in certain challenging scenarios of single RGB modality. Recent …
Hybrid-Mode tracker with online SA-LSTM updater
H Zheng, Y Gao, Y Hu, X Zhang - Neural Computing and Applications, 2024 - Springer
The backbone network and target template are pivotal factors influencing the performance of
Siamese trackers. However, traditional approaches encounter challenges in eliminating …
Siamese trackers. However, traditional approaches encounter challenges in eliminating …
[HTML][HTML] FETrack: Feature-Enhanced Transformer Network for Visual Object Tracking
H Liu, D Huang, M Lin - Applied Sciences, 2024 - mdpi.com
Visual object tracking is a fundamental task in computer vision, with applications ranging
from video surveillance to autonomous driving. Despite recent advances in transformer …
from video surveillance to autonomous driving. Despite recent advances in transformer …