混杂人 发表于 2025-3-28 17:16:52
O. Söhnel,J. Maračekclassification. We highlight how a model, that is separately trained to regress fingertip in conjunction with a classifier trained on limited classification data, would perform better over . models. We also propose a dataset of 10 egocentric pointing gestures designed for AR applications for testing向下五度才偏 发表于 2025-3-28 21:36:54
http://reply.papertrans.cn/47/4640/463976/463976_42.png破布 发表于 2025-3-28 23:53:58
http://reply.papertrans.cn/47/4640/463976/463976_43.pngInsulin 发表于 2025-3-29 04:00:32
Rafael Rodriguez-Clementevironmental conditions that are actually unchanged events. Human mind interprets the change by comparing the current status with historical data at intelligence level rather than using only visual information. In this paper, we present a deep architecture called ChangeNet for detecting changes betweCompass 发表于 2025-3-29 07:30:06
http://reply.papertrans.cn/47/4640/463976/463976_45.png原始 发表于 2025-3-29 14:29:45
ly trained model can “transfer” to attack other learning models. In this paper, we propose novel Gradient Estimation black-box attacks for adversaries with query access to the target model’s class probabilities, which do not rely on transferability. We also propose strategies to decouple the number召集 发表于 2025-3-29 17:02:44
Gregory D. Botsaris are inevitably biased to object classes of limited pairwise patterns, leading to poor generalization to rare or unseen object combinations. Therefore, we are interested in learning object-agnostic visual features for more generalizable relationship models. By “agnostic”, we mean that the feature ispacific 发表于 2025-3-29 23:08:53
http://reply.papertrans.cn/47/4640/463976/463976_48.png打击 发表于 2025-3-30 01:53:51
http://reply.papertrans.cn/47/4640/463976/463976_49.pngExpertise 发表于 2025-3-30 04:15:05
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