GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. L. Huang*,X. Zhao*, andK. Huang.(*Equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [PDF] [ArXiv] [BibTex] ...
Please cite this paper if you use the code or datasets: GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. L. Huang*,X. Zhao*, andK. Huang.(*Equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [PDF] [BibTex]...
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild. L. Huang*,X. Zhao*, andK. Huang.(*Equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [PDF] [ArXiv] [BibTex] ...
近日，创新奇智凭借突破性的单目标跟踪算法，在通用单目标跟踪测评数据集GOT-10k(Generic Object Tracking Benchmark)上，以绝对优势获得冠军。GOT-10K数据集由中科院发布，包括超过10000条取材于真实世界的视频片段和560多个类别，超过150万个手动标记框，具备场景丰富、算法挑战难度高等特点。创新奇智夺冠的单目标跟踪算...
42笔记 摘要原文 We introduce here a large tracking database that offers an unprecedentedlywide coverage of common moving objects in the wild, called GOT-10k.Specifically, GOT-10k is built upon the backbone of WordNet structure and itpopulates the majority of over 560 classes of moving objects ...
This repository contains the official python toolkit for running experiments and evaluate performance onGOT-10kbenchmark. The code is written in pure python and is compile-free. Although we support both python2 and python3, we recommend python3 for better performance. ...
``GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild``, L. Huang, X. Zhao and K. Huang, ArXiv 2018. Args: root_dir (string): Root directory of dataset where ``train``, ``val`` and ``test`` folders exist. ...
indicate that the average overlap and success rate of the proposed algorithm increase by about 5% and 10%, respectively, compared to the SiamRPN++ algorithm when running on the dataset of GOT-10k (Generic Object Tracking Benchmark).doi... T Yuan,W Yang,Q Li,... - 《Electronics》 被引量...
Official MATLAB toolkit for generic object tracking benchmark GOT-10k MATLAB 29 7 got-10k.github.io Public GOT-10k website repo. HTML 1 Something went wrong, please refresh the page to try again. If the problem persists, check the GitHub status page or contact support. Footer...
近日,创新奇智凭借突破性的单目标跟踪算法,在通用单目标跟踪测评数据集GOT-10k(Generic Object Tracking Benchmark)上,以绝对优势获得冠军。 GOT-10K数据集由中科院发布,包括超过10000条取材于真实世界的视频片段和560多个类别,超过150万个手动标记框,具备场景丰富、算法挑战难度高等特点。