GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

Huang, Lianghua; Zhao, Xin; Huang, Kaiqi

doi:10.1109/tpami.2019.2957464

Public

GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

Published in IEEE Transactions on Pattern Analysis and Machine Intelligence • Dec 4, 2019

Authors:

Lianghua Huang

Xin Zhao

Kaiqi Huang

Abstract

We introduce here a large tracking database that offers an unprecedentedly wide coverage of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon the backbone of WordNet structure [1] and it populates the majority of over 560 classes of moving objects and 87 motion p...

Subject

Computer science

Artificial intelligence

WordNet

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