Oct 22, 2021 · We propose a step-by-step cycle tracking strategy to capture the temporal motion dynamics in an unsupervised manner. We incorporate contrastive ...

We then perform unsupervised tracking by computing the contrastive cycle consistency over the augmented consecutive frames, which simulates the challenging ...

We then perform unsupervised tracking by computing the contrastive cycle consistency over the augmented consecutive frames, which simulates the challenging ...

We then perform unsupervised tracking by computing the contrastive cycle consistency over the augmented consecutive frames, which simulates the challenging ...

Abstract: Unsupervised visual tracking has received increasing attention recently. Existing unsupervised visual tracking methods mainly exploit the cycle ...

Apr 4, 2022 · This provides a unified technique for self-supervised op- tical flow, pose tracking, and video object segmentation. • For optical flow, the ...

[63] propose to perform forward and backward tracking in time to achieve a cycle- consistency for learning temporal correspondence. Dwibedi et al. [17] ...

Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking. J Zhu, C Ma, S Jia, S Xu. Pattern Recognition and Computer Vision: 4th Chinese ...

To bridge one modality or domain to the other, cycle-consistency learning has been explored extensively in visual object tracking (Wang et al. 2019; Wang ...

Progressive Unsupervised Learning for Visual Object Tracking. Qiangqiang ... tracking model in a contrastive learning (CL) way. Given a tracked instance ...