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Found 7 papers, 1 papers with code
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
With this structure, the network can extract fusion features of the template and search region under the mutual interaction of modalities.
Ranked #1 on
Rgb-T Tracking
on GTOT
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Instead, by mixing new and old features, old knowledge can be retained without increasing the computational complexity.
Online Decision Based Visual Tracking via Reinforcement Learning
A deep visual tracker is typically based on either object detection or template matching while each of them is only suitable for a particular group of scenes.
FPGA-based Acceleration System for Visual Tracking
In order to improve the tracking speed and reduce the overall power consumption of visual tracking, this paper proposes a real-time visual tracking algorithm based on DSST(Discriminative Scale Space Tracking) approach.
High Performance Visual Tracking with Circular and Structural Operators
Based on the proposed circular and structural operators, a set of primal confidence score maps can be obtained by circular correlating feature maps with their corresponding structural correlation filters.
A Complementary Tracking Model with Multiple Features
Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking
To the best of our knowledge, we are the first to incorporate the advantages of DCF and SOSVM for TIR object tracking.
