The overview of the GAFFPFM tracker.

The overview of the GAFFPFM tracker.

<p>It composes of four subnetworks, i.e., feature extraction network, feature fusion network, anchor-frame-free perceptual feature modulation (AFFPFM), and multi-classification regression network.</p>

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Bibliographic Details
Main Author:	Yuanhong Dan (20570631) (author)
Other Authors:	Jinyan Li (24722) (author), Yu Jin (360487) (author), Yong Ji (296783) (author), Zhihao Wang (473744) (author), Dong Cheng (596943) (author)
Published:	2025
Subjects:	Neuroscience Sociology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified target deformation motion several popular algorithms physical experimental environment model &# 8217 global attention mechanism capture video streams achieved significant results perform feature fusion global feature interaction feature refinement capability uav tracking datasets track specific targets time processing speed algorithm balances speed feature representation speed compatibility tracking performance small targets view range siamese family quality anchors generate high deep inter correlation operations computational effort comparison experiments
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