Our meta-updater learns a binary output to guide the tracker's update and can be easily embedded into differ- ent trackers. This work also introduces a long- ...
Apr 1, 2020 · Our meta-updater learns a binary output to guide the tracker's update and can be easily embedded into different trackers. This work also ...
Our meta-updater learns a binary output to guide the tracker's update and can be easily embedded into differ- ent trackers. This work also introduces a long- ...
Our Meta-updater can be easily embedded into other online-update algorithms(Dimp, ATOM, ECO, RT-MDNet...) to make their online-update more accurately in long- ...
Our meta-updater learns a binary output to guide the tracker's update and can be easily embedded into different trackers. This work also introduces a long-term ...
[PDF] High-Performance Long-Term Tracking With Meta-Updater
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This work proposes a novel offline-trained Meta-Updater that can effectively integrate geometric, discriminative, and appearance cues in a sequential manner ...
For different trackers and tracking benchmarks, 1.5~3.5 is a proper range for obtaining a better performance. Reference. This work is an extention of: [LTMU] " ...
Nov 10, 2024 · ... Efficient model updates enable the tracker to adjust dynamically, ensuring effective performance in complex motion environments. Dai et al.
A new long video dataset and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios, encompassing a duration ...
Video Annotation for Visual Tracking via Selection and Refinement · High-Performance Long-Term Tracking with Meta-Updater · Visual Tracking via Adaptive Spatially ...