UniBench300
September 22, 2025 ยท View on GitHub
Limited by the file size, the whole UniBench300 can not be shared here. Thus only sevral samples are displayed here.

UniBench300 contains RGBT, RGBD, and RGBE data simultaneously.
Benchmark-Toolkit
Download the UniBench300* files to maintain the toolkit for UniBench300.
UniBench_Toolkit.zip is the main file and create 'tracking_results' after unziped. Then unzip other files into this dictory.

[Toolkit]: URL CODE:TZYD [Dataset]: URL CODE:TZYD
Results
To make this work more convincing, the result files of original, mixed, and CL-boosted versions on LasHeR,
DepthTrack, and VisEvent are provided. (SymTrack*)
Code
| Stage | Initialised | Involved Data | Saved Model |
|---|---|---|---|
| 1 | Random | VisEvent | SymTrack-e.pth.tar |
| 2 | SymTrack-e.pth.tar | VisEvent, LasHeR | SymTrack-et.pth.tar |
| 3 | SymTrack-et.pth.tar | VisEvent, LasHeR, DepthTrack | SymTrack-etd.pth.tar |
Since the proposed continual unification process mainly differs in the trainng stage,
the core training file for configuration is provided (base-t.yaml)