GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
نویسندگان
چکیده
منابع مشابه
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Despite the numerous developments in object tracking, further development of current tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, data-hungry trackers based on deep-learning currently rely on object detection datasets due to the scarcity of dedicated large-scale tracking datasets. In this work, we present TrackingNet, the first large-scale dataset ...
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We present more evaluation results in this document. Tracking Speed. Table 1 shows the statistics of the tracking speed of each algorithm in OPE running on a PC with Intel i7 3770 CPU (3.4GHz). The speed of L1APG is slower than [4] as we set the parameters of L1APG to be the default ones of MTT, where the canonical size of template is larger than the default one of L1APG. The implementation of ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2021
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2019.2957464