For multimodal feature fusion, we present an Intra- and Inter-modal Multilinear pooling (IIM) model to effectively combine the multi-modal features with considering both the intra- and inter-modal feature interactions. Compared to existing multimodal fusion models, IIM can capture high-order ...
用于视觉问答的具有模态内和模态间注意力的动态融合模型《Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual 》,程序员大本营,技术文章内容聚合第一站。
Learning a robust shared representation space is critical for effective multimedia retrieval, and is increasingly important as multimodal data grows in volume and diversity. The labeled datasets necessary for learning such a space are limited in size and also in coverage of semantic concepts. These li...
The Dual-Spectrum Augmentation (DSA) method is first presented to mine inter-modality knowledge between the visible and infrared modalities by expanding the diversity of spectra for both modalities. Concurrently, to learn intra-modality knowledge, we divide the clusters into camera-based proxies and ...
Using a homotopic atlas, we quantified lateralization indices of functional segregation and integration across 200 homotopic ROI pairs. Segregation was defined as the degree of preferential intra-hemispheric communication within each hemisphere versus inter-hemispheric communication. Integration was used to ...
The design of the BRT system will have direct impacts on intra-modal mobility (e.g., the transfer needs in BRT stations for bus services in a closed BRT system) and indirect impacts on inter-modal mobility (e.g., the transfer needs in both BRT and rail stations in a closed BRT ...
guishable from the corresponding centromeric C-bands which were more darkly stained (Fig. 3d and e, see arrows). Discussion Karyotypic variability in the chromosome number ranging from Zn =28 to 2n = 30 reveals the occur- rence of an inter-individual mosaicism of Robertsonian origin in Urano...
The behavior of three insulin action and glucose kinetics models was assessed for an insulin therapy regime in the presence of patient variability. For this purpose, postprandial glucose in patients with type 1 diabetes was predicted by considering intra- and inter-patient variability using modal inte...
To this end, we propose Semi-IIN, a Semi-supervised Intra-inter modal Interaction learning Network for multimodal sentiment analysis. Semi-IIN integrates masked attention and gating mechanisms, enabling effective dynamic selection after independently capturing intra- and inter-modal interactive information....
This study presents a methodology to evaluate the impact of a new transportation infrastructureon social welfare, taking into account both inter- and intramodal competition. The new infrastructure alters the characteristics of the transportation mode involved, entailing changes in the competition framework...