ITB

Informative Tracking Benchmark

Dataset Information
Modalities
Videos
Introduced
2021
License
Unknown
Homepage

Overview

Informative Tracking Benchmark (ITB) is a small and informative tracking benchmark with 7% out of 1.2 M frames of existing and newly collected datasets, which enables efficient evaluation while ensuring effectiveness. Specifically, the authors designed a quality assessment mechanism to select the most informative sequences from existing benchmarks taking into account 1) challenging level, 2) discriminative strength, 3) and density of appearance variations. Furthermore, they collect additional sequences to ensure the diversity and balance of tracking scenarios, leading to a total of 20 sequences for each scenario.

Variants: ITB

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Visual Object Tracking DropTrack DropMAE: Masked Autoencoders with Spatial-Attention … 2023-04-02

Research Papers

Recent papers with results on this dataset: