VOTChallenge (Visual Object Tracking)
The Visual Object Tracking (VOT) dataset is a collection of video sequences used for evaluating and benchmarking visual object tracking algorithms. It provides a standardized platform for researchers and practitioners to assess the performance of different tracking methods.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
VOT2020
|
SwinB-DeAOT-L
|
|||
|
VOT2017/18
|
SiamMask_E
|
|||
|
VOT2017
|
GFS-DCF
|
|||
|
VOT2016
|
SiamMask_E
|
|||
|
VOT2019
|
TREG
|
|||
|
VOT2018
|
TREG
|
|||
|
VOT2014
|
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
