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

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

29 October 2018

Kaiqi Huang

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

7 / 457 papers shown

Title
ROAM: Recurrently Optimizing Tracking ModelComputer Vision and Pattern Recognition (CVPR), 2019 Tianyu Yang Pengfei Xu Runbo Hu Hua Chai Antoni B. Chan 282 103 0 28 Jul 2019
Learning Feature Embeddings for Discriminant Model based Tracking Linyu Zheng Ming Tang Yingying Chen Jinqiao Wang Hanqing Lu 146 9 0 25 Jun 2019
Performance Evaluation Methodology for Long-Term Visual Object Tracking A. Lukežič L. Č. Zajc Tomás Vojír Jirí Matas Matej Kristan 93 6 0 19 Jun 2019
Learning Discriminative Model Prediction for Tracking Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte 300 1,210 0 15 Apr 2019
BoLTVOS: Box-Level Tracking for Video Object Segmentation P. Voigtlaender Jonathon Luiten Bastian Leibe VOS 135 27 0 09 Apr 2019
Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms Fengchao Xiong Jun Zhou Y. Qian VOS 237 214 0 11 Dec 2018
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking Heng Fan Liting Lin Fan Yang Peng Chu Ge Deng Sijia Yu Hexin Bai Yong-mei Xu Chunyuan Liao Haibin Ling VOT 312 1,409 0 20 Sep 2018