Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning

Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning

With the widespread use of sensors in applications such as autonomous driving and intelligent security, stable and efficient target tracking from diverse sensor data has become increasingly important. Self-supervised visual tracking has attracted increasing attention due to its potential to eliminat...

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Bibliographic Details
Main Authors: Gu Geng, Sida Zhou, Jianing Tang, Xinming Zhang, Qiao Liu, Di Yuan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
object tracking
self-supervised
image synthesis
domain adversarial learning
Online Access:https://www.mdpi.com/1424-8220/25/15/4621
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