为敌
发表于 2025-3-28 18:25:56
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Hypomania
发表于 2025-3-28 20:20:16
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressionsversal Adversarial Perturbations (UAP) that can affect inference of the models over most input samples. Given a model, there exist broadly two approaches to craft UAPs: (i) data-driven: that require data, and (ii) data-free: that do not require data samples. Data-driven approaches require actual sam
羽饰
发表于 2025-3-29 01:07:33
Rendering Portraitures from Monocular Camera and Beyondertain photography skills to generate such effects. Recently, dual-lens on cellphones is used to estimate scene depth and simulate DoF effects for portrait shots. However, this technique cannot be applied to photos already taken and does not work well for whole-body scenes where the subject is at a
笨拙处理
发表于 2025-3-29 06:25:37
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GLUE
发表于 2025-3-29 08:08:31
A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Datahave become a popular tool for unsupervised learning due to their empirical success and theoretical guarantees. However, their performance can be affected by imbalanced data distributions and large-scale datasets. This paper presents an exemplar-based subspace clustering method to tackle the problem
内向者
发表于 2025-3-29 14:38:44
RCAA: Relational Context-Aware Agents for Person Searchious approaches to this problem have relied on a pedestrian proposal net, which may generate redundant proposals and increase the computational burden. In this paper, we address this problem by training relational context-aware agents which learn the actions to localize the target person from the ga
演绎
发表于 2025-3-29 16:06:04
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领导权
发表于 2025-3-29 22:02:02
Face Recognition with Contrastive Convolutionure extraction. For both faces the same kernels are applied and hence the representation of a face stays fixed regardless of whom it is compared with. As for us humans, however, one generally focuses on varied characteristics of a face when comparing it with distinct persons as shown in Fig. .. Insp
tenosynovitis
发表于 2025-3-30 03:58:05
Adding Attentiveness to the Neurons in Recurrent Neural NetworksRNN neurons mainly focus on controlling the contributions of current and historical information but do not explore the different importance levels of different elements in an input vector of a time slot. We propose adding a simple yet effective Element-wise-Attention Gate (EleAttG) to an RNN block (
eardrum
发表于 2025-3-30 05:59:19
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