SiamPF improves Siamese tracking accuracy by combining a deeper VGG16 backbone with an auxiliary AlexNet-style branch, channel attention, and a modified APCE response filter, achieving competitive benchmark scores at real-time speed.
Convolutional features for correlation filter based visual tracking
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A Strong Feature Representation for Siamese Network Tracker
SiamPF improves Siamese tracking accuracy by combining a deeper VGG16 backbone with an auxiliary AlexNet-style branch, channel attention, and a modified APCE response filter, achieving competitive benchmark scores at real-time speed.