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Titlebook: Advances in Visual Computing; 17th International S George Bebis,Bo Li,Remco Chang Conference proceedings 2022 The Editor(s) (if applicable)

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樓主: Jaundice
41#
發(fā)表于 2025-3-28 18:09:13 | 只看該作者
42#
發(fā)表于 2025-3-28 21:52:30 | 只看該作者
Joint Discriminative and?Metric Embedding Learning for?Person Re-identificationroxy for the missing gradients. We further improve invariance to nuisance factors by adding the discriminative task of predicting attributes. Our extensive evaluation highlights that when only a holistic representation is learned, we consistently outperform the state-of-the-art on the three most cha
43#
發(fā)表于 2025-3-29 01:08:47 | 只看該作者
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發(fā)表于 2025-3-29 05:49:59 | 只看該作者
VR-SFT: Reproducing Swinging Flashlight Test in?Virtual Reality to?Detect Relative Afferent Pupillarach to the swinging flashlight exam, VR-SFT, by making use of virtual reality (VR). We suggest that the clinical records of the subjects and the results of VR-SFT are comparable. In this paper, we describe how we exploit the features of immersive VR experience to create a reliable and objective swin
45#
發(fā)表于 2025-3-29 08:15:37 | 只看該作者
46#
發(fā)表于 2025-3-29 11:51:17 | 只看該作者
https://doi.org/10.1007/978-1-4684-4031-7ng, a method that utilizes sparse coding and dictionary learning to pre-train the filters of a CNN. This pre-training is reminiscent of the unsupervised autoencoder training that used to be performed when stacking layers of a neural network. We argue that this dictionary transfer provides a better i
47#
發(fā)表于 2025-3-29 19:14:18 | 只看該作者
Conserving America’s Neighborhoodsate in real time..The proposed method was validated with a dataset of 385 shelf images of 12 product categories from several stores of four different brands. Experimental results show that our approach is highly accurate in finding a product in all categories and for solving planogram conformity rat
48#
發(fā)表于 2025-3-29 23:22:20 | 只看該作者
Fire Alarms as Urban Social Indicatorsthe original location. To evaluate our approach experimentally, we obfuscate faces from various datasets by applying blurring, pixelation and the proposed technique. To determine the success of obfuscation, we verify whether the original and the resulting face represent the same person using a state
49#
發(fā)表于 2025-3-30 00:38:23 | 只看該作者
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發(fā)表于 2025-3-30 05:12:15 | 只看該作者
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