Enhancing the Two-Stream Framework for Efficient Visual Tracking
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View abstract on PubMed
Summary
This summary is machine-generated.We developed ToS, an efficient Two-Stream visual object tracker. It outperforms one-stream models in speed and accuracy, making it ideal for resource-limited edge devices.
Area Of Science
- Computer Vision
- Artificial Intelligence
Background
- High-speed visual object tracking is crucial for edge devices.
- One-stream trackers offer efficacy, but two-stream architectures have potential advantages.
Purpose Of The Study
- Introduce ToS, an efficient Two-Stream tracker.
- Demonstrate the superiority of the two-stream approach over one-stream models.
Main Methods
- Utilized a Two-Stream architecture with lightweight backbones.
- Implemented a feature-aggregation module for enhanced representation.
- Employed channel-wise feature fusion and an expanded template strategy.
Main Results
- ToS achieved superior speed and accuracy compared to one-stream trackers.
- The proposed strategies enhanced backbone representation and fusion efficiency.
- The expanded template strategy boosted accuracy with minimal cost.
Conclusions
- The rejuvenated two-stream paradigm offers state-of-the-art performance in efficient visual tracking.
- ToS is a highly effective solution for real-time object tracking on edge devices.
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