QS-Attn的细节在以下两个小节中给出。 Attention for query selection CUT随机选择锚点q,正k+和负k-来计算等式中的对比损失(2)是低效的,因为它们对应的补丁可能不是来自与域相关的区域,例如马体在马→斑马任务中,有些特性并不反映域特征,但它们往往在翻译过程中被保留。因此, Lcon对G并不重要。我们的目的是选...
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation Xueqi Hu1, Xinyue Zhou1, Qiusheng Huang1, Zhengyi Shi1, Li Sun1,2,* Qingli Li1 1Shanghai Key Laboratory of Multidimensional Information Processing, 2Key Laboratory of Advanced Theory and Application in...
This module selected significant queries using an entropy metric computed from the attention matrix. However, it often selected many queries with equal significance measures, leading to an excessive focus on the background. In this study, we proposed a dual-learning framew...
Unsupervised Multi-Modal Medical Image Registration via query-selected attention and decoupled Contrastive Learning 来自 IEEEXplore 喜欢 0 阅读量: 2 作者:Z Huang,B Chen 摘要: The translation-based unsupervised deformable image registration method has become one of the classic methods for multi-modal ...
("Compare the plans for the selected query in a separate window" toolbar option, which is marked with red square on the toolbar.)Plan before index creation (plan_id = 1, above) has missing index hint and you can inspect that Clustered Index Scan was the most expensive operator in the ...
Your first step in this process is to review your query and pay close attention to the query folding indicators. The goal is to review the steps that are marked as not folded. Then you can see if making changes to the overall query could make those transformations fold completely....
Although your workload may generate thousands of queries, typically only a handful of them actually use the most of the system resources and therefore require your attention. Among top resource consuming queries, you'll typically find queries that have either regressed or those that can be improved...
Use a plan guide to force parameterization only for the selected query. Configure forced parameterization by using the parameterization database option command, if there are a small number of different query plans in your workload. An example is when the ratio between the count of distinct qu...
The objects selected by the coarse filter are mere candidates that need a final check to see whether they are hits, i.e. respond to the query, or false drops, i.e. passed the first but failed the second, crucial test: Does an object that appears to be close enough at first sight, ...
G Fanti,K Ramchandran - 《IEEE Journal of Selected Topics in Signal Processing》 被引量: 57发表: 2015年 i-TagRanker: an efficient tag ranking system for image sharing and retrieval using the semantic relationships between tags Folksonomy, considered a core component for Web 2.0 user-participatio...