To address this problem, we propose a novel loss paradigm termed Sparse Pairwise (SP) loss that only leverages few appropriate pairs for each class in a mini-batch, and empirically demonstrate that it is sufficient for the ReID tasks. Based on the proposed loss framework, we propose an ...
pairwise correlation between two imaging modalities has been extensively studied.However,the multi-way association among more than three modalities remains unclear and is highly challenging.The difficulty and indeterminacy are largely due to the loss imbalances caused by multiple modalities fusion and the...
Xu等人[15]针对双极化SAR图像中舰船检测问题,构建了一种分组增强融合网络(A Group-Wise Feature Enhancement-and-Fusion Network, GWFEF-Net)用于提取双极化SAR舰船特征。此外,Li等人[16]总结了177篇基于深度学习的SAR舰船检测算法,并对SAR舰船检测领域的过去、现状和未来发展趋势进行了分析。 上述方法大多基于锚框...
We found that intermediate \(\beta\) was associated with an elevated, albeit low mean pairwise spike-count correlation (\({r}_{{SC}}\) ; \(\left\langle {r}_{{SC}}\right\rangle\) < 0.15; Fig. 2c), consistent with experimental predictions47. These results demonstrate that a ...
Without loss of generality, let a denote the number of asset classes for a given portfolio. The maximum number of partitions (m♢) is equal to m♢=a(a+1)2−b, for b≤a, where b is the number of asset classes with one asset (and therefore no correlations within the partition)...
Looking ahead, efficient representations of sparse memory configurations (in which s 0 < s ∞) are convenient for succinctly garbling computations where the space usage is larger than the input length. Adaptive Succinct Garbled RAM (How to Delegate Your Database) 69 Execution. A RAM M = (Σ...
The motivation behind the use of this architecture lies in its ability to encode links and pairwise interactions among the elements of sets through the attention mechanism. The architecture is primarily built on layers called self attention layers, constructed to be permutation-equivariant. The ...
To overcome the gradient domination, we first proposed a robustness-aware AdaSMCCA (rAdaSMCCA) method which adaptively balances between multiple pairwise SCCA models. In addition, to ensure the selection of meaningful biomarkers, we imposed fused pairwise group Lasso (FGL) (Du et al., 2020c) ...
individual constraint, the proposed method can be seen as a special kind of pairwise constraint. Our method forces inter-class distance to be a changeable value according to the difficult degree, aiming to punish the hardest negative samples. We encode each separate constraint with squared loss ...
amean neuronal firing rate.bMean spike-count Fano-factor (FF; variance/mean).cMean Pearson spike-count pairwise correlation (\(\left\langle {r}_{{SC}}\right\rangle\)).dMean Kolmogorov complexity (KC).eMean participation coefficient (PC).fIntegrated information (Φ*). ...