Special Report, Travel, Americas

[kinoteatrzarya]

We evaluate the proposed model in cross-scenario temporal grounding, where the train / test data are heterogeneously sourced. Experiments show large-margin superiority of the proposed method in comparison with state-of-the-art competitors. Given a sentence query and an untrimmed video, the goal of temporal grounding Anne Hendricks et al. 2017); Gao et al. 2017) is to localize video moment described by the sentence query. In recent years, a list of promising models Wang et al. 2020); Ghosh et al. 2019); Rodriguez et al. 2020); Wang et al. Hendricks et al. (2018); Zhang et al. Stroud et al. (2019); Yuan et al. 2019); Zhang et al. 2020) have been designed to tackle this task. Despite remarkable research progress, we empirically find that these models are heavily affected by some superficial bias of the data, leading to inferior generalization performance on cross-scenario testing data. In one of our pilot experiments, we take some well-trained state-of-the-art temporal grounding model and zero the feature vector of all testing queries.




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https://axiomcheats.com/forum/showthread.php?tid=92182
https://forum.agromex.info.pl/showthrea ... 712#pid712
https://gruender-campus.de/forum/viewtopic.php?t=8273
https://forums.hotciti.com/viewtopic.php?f=19&t=575253
https://sosedfermer.ru/author/kcsfmltl/
https://forum.cambunny.co.uk/viewtopic.php?f=3&t=233617
http://permitbeijing.com/forum/showthre ... tid=931273
https://forums.hotciti.com/viewtopic.php?f=19&t=574816
http://gelezinfon.mobi/showthread.php?t ... 0#pid10400
http://kovdorgok.ru/forum/topic/148266- ... -americas/
http://lifeanddeathforum.com/showthread ... pid1455350
https://www.eurokeks.com/questions/384027
http://lifeanddeathforum.com/showthread ... pid1455446
https://forums.virtuverse.wiki/Thread-P ... 7#pid86817
http://aena.at/phpbb3/viewtopic.php?f=2 ... 3#p3164403

[wangiskahn2]

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