依法逮捕
发表于 2025-3-26 23:46:19
Growth and Structure of the Economymbeddings, we extend our model to OpenTAP which can recognize novel attributes not seen during training. In a large-scale setting, we further show that OpenTAP can predict a large number of seen and unseen attributes that outperforms large-scale vision-text model CLIP by a decisive margin. The project page is available at ..
脊椎动物
发表于 2025-3-27 02:31:17
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温和女孩
发表于 2025-3-27 08:13:50
,Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers,mbeddings, we extend our model to OpenTAP which can recognize novel attributes not seen during training. In a large-scale setting, we further show that OpenTAP can predict a large number of seen and unseen attributes that outperforms large-scale vision-text model CLIP by a decisive margin. The project page is available at ..
无意
发表于 2025-3-27 10:32:14
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committed
发表于 2025-3-27 16:08:39
,Hyperspherical Learning in Multi-Label Classification,vely balance the impact of false negative and true positive labels. We further design a mechanism to tune the angular margin and scale adaptively. We investigate the effectiveness of our method under three multi-label scenarios (single positive labels, partial positive labels and full labels) on fou
critic
发表于 2025-3-27 21:02:29
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Ganglion-Cyst
发表于 2025-3-28 00:25:58
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细节
发表于 2025-3-28 05:50:52
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gnarled
发表于 2025-3-28 08:52:54
,Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection,normal samples with a comprehensive exploration of the contaminated data. Besides, HSCL is an end-to-end learning approach that can efficiently learn discriminative representations without fine-tuning. HSCL achieves state-of-the-art performance in multiple scenarios, such as one-class classification
不合
发表于 2025-3-28 12:37:49
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