自然环境
发表于 2025-3-23 09:51:45
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Obloquy
发表于 2025-3-23 16:10:20
Knowledge Prompting with Contrastive Learning for Unsupervised CommonsenseQAs on stacking large-scale models or extracting knowledge from external sources. However, these methods suffer from either the unstable quality of knowledge or the deficiency in the model’s flexibility. In this paper, we propose a .nowledge .rompting with .ontrastive .earning (KPCL) model to address
细微差别
发表于 2025-3-23 20:17:48
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syncope
发表于 2025-3-24 01:54:13
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能量守恒
发表于 2025-3-24 04:30:13
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利用
发表于 2025-3-24 07:14:13
Efficient Prompt Tuning for Vision and Language Models method for different downstream tasks is prompt tuning, which fixes the parameters of the visual language model and adjusts only prompt parameters in the process of adapting the downstream tasks, using the knowledge learned by the visual language model during pre-training to solve the problems in t
Chronological
发表于 2025-3-24 11:33:23
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fluoroscopy
发表于 2025-3-24 16:15:19
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dagger
发表于 2025-3-24 20:00:24
PLKA-MVSNet: Parallel Multi-view Stereo with Large Kernel Convolution Attention, particularly the inaccurate depth estimation in challenging areas such as low-texture regions, weak lighting conditions, and non-Lambertian surfaces. We ascribe this problem to the insufficient performance of the feature extractor and the information loss caused by the MVS pipeline transmission, a
Adj异类的
发表于 2025-3-25 01:05:54
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