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OTB2013, OTB2015, VOT2015, VOT2016
Visual object tracking, which tracks a specified target in a changing video sequence automatically, is a fundamental problem in many topics such as visual analysis, automatic... -
MNIST-Multi-Diff
Artificially generated datasets for visual object tracking -
MNIST-Single-Diff
Artificially generated datasets for visual object tracking -
MNIST-Multi-Same
Artificially generated datasets for visual object tracking -
MNIST-Single-Same
Artificially generated datasets for visual object tracking -
VOT-ST 2021
VOT-ST 2021 is a visual object tracking benchmark, consisting of 20 long videos. -
Visual Object Tracking VOT-2018
The VOT-2018 dataset is a large-scale and challenging dataset for visual object tracking. -
Object Tracking Benchmark
The OTB100 dataset is an extension of the OTB50 dataset, containing 100 videos with 1000 frames each. -
Visual Object Tracking Benchmark
The OTB2013 and OTB2015 datasets contain video sequences for visual object tracking. -
Visual Object Tracking VOT2017 and VOT2018
The VOT2017 and VOT2018 datasets contain video sequences for visual object tracking. -
Compact Transformer Tracker with Correlative Masked Modeling
Visual Object Tracking is one of the fundamental tasks in computer vision with applications ranging from human-computer interaction, surveillance, traffic flow monitoring and etc.... -
TrackingNet
The TrackingNet dataset is a benchmark for visual tracking, containing 511 video sequences with varying difficulties. -
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
The authors used four widely used datasets, OTB100, VOT2018, UAV123, and LaSOT, for visual object tracking.
