GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Chinese Academy of Sciences · University of Chinese Academy of Sciences · +2 more institutions
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 patterns, magnitudes wider than the most recent similar-scale counterparts [19], [20], [23], [26]. By releasing the large high-diversity database, we aim to provide a unified training and evaluation platform for the development of class-agnostic, generic purposed short-term trackers. The features of GOT-10k and the contributions of this article are summarized in the following. (1) GOT-10k offers over 10,000 video…
Citation impact
- FWCI
- 64.20
- Percentile
- 100%
- References
- 136
Authors
3- LHLianghua HuangCorresponding
Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shandong Institute of Automation
- XZXin Zhao
University of Chinese Academy of Sciences, Shandong Institute of Automation, Chinese Academy of Sciences
- KHKaiqi Huang
Chinese Academy of Sciences, University of Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology, Shandong Institute of Automation
Topics & keywords
- Computer science
- Artificial intelligence
- WordNet
- Benchmark (surveying)
- Eye tracking
- Video tracking
- BitTorrent tracker
- Minimum bounding box