… We investigate feature transfer from a multi-perspective and propose a fine-grained zero-shot
stance detection model that diminishes the dependency on target-specific features by …

… based on multi-perspective multi-region feature fusion was proposed… vectors of region
blocks were fused together end to end to … The experimental results show that the multi-perspective …

… Multi-perspective feature fusion network (FusionNet): We combined the global contextual
feature information (global features… temporal dynamic variation features (dynamic features, DF), …

… Multi-Perspective feature Fusion Network for ECG arrhythmias classification, which fully
integrates multi-perspective features from … the accuracy of ECG feature representation. The main …

… a graph-based multi-perspective feature fusion model to … strategies in the multi-Perspective
feature fusion method: … aware), to fuse different semantic features between nodes. Finally, the …

… We present an information fusion approach to the robust … fusion of normalized noisy features
with multiple beamforming techniques, enhanced speech features, speaker-related features…

… The single-feature image approach is used to extend the basic MPF scheme to a multi-feature
and multi-perspective fusion (MFMPF) by using different types of feature images from …

… layers, a multiperspective feature module, and text reconstruction module. The backbone
is combined by ResNet-18 and FPN to extract the fused features with strong representation …

… Motivated by the discussions above, we propose a MultiPerspective Features … a novel
Multi-Perspective Features Learning Network (MPFLN) is designed to extract the common features …

… -parametric framework based on multi-perspective feature fusion and guided alignment and
… ) model and an adaptive content feature fusion strategy. Different from StyleGNN, inspired …