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Feb, 2020
MAST:一种基于内存扩充的自监督追踪器
MAST: A Memory-Augmented Self-supervised Tracker
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Zihang Lai, Erika Lu, Weidi Xie
TL;DR
本文提出一种基于自监督学习、带有记忆组件的密集跟踪模型,改善了现有密集跟踪方法,并提出了新的泛化性能度量;实验结果表明,该方法在密集跟踪任务上表现与有监督方法相当,而泛化性能更优。
Abstract
Recent interest in self-supervised
dense tracking
has yielded rapid progress, but performance still remains far from supervised methods. We propose a
dense tracking
model trained on videos without any annotations
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