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Found 3 papers, 1 papers with code
Towards Sequence-Level Training for Visual Tracking
Despite the extensive adoption of machine learning on the task of visual object tracking, recent learning-based approaches have largely overlooked the fact that visual tracking is a sequence-level task in its nature; they rely heavily on frame-level training, which inevitably induces inconsistency between training and testing in terms of both data distributions and task objectives.
Ranked #17 on
Visual Object Tracking
on TrackingNet
Privacy Safe Representation Learning via Frequency Filtering Encoder
We further conduct a user study to qualitatively assess our defense of the reconstruction attack.
Universal Bounding Box Regression and Its Applications
Bounding-box regression is a popular technique to refine or predict localization boxes in recent object detection approaches.
