Proposed MCF-Net is consisted of cross stage partial network (CSPNet) as backbone module, three parallel sub-networks, and cross-level fusion module. With multi-stream hybrid architecture utilizing massive fine-granulometric information, MCF-Net obtains preferable representation ability for distinguishing ...
[34] proposed an encoder–decoder network based on cross stage partial block, which improve the feature extraction ability while reducing the computational overhead. 2.2 Feature fusion method It is also the mainstream technology for improving image utilization, and has been used in semantic ...
The first category of data fusion methods use different datasets at different stages of a data mining task. We call them stage-based fusion methods. For example, Zheng et al. [86] first partition a city into disjoint regions by road network data, and then detect the pairs of regions that...
Climate change adaptation strategies emphasize management action that considers whole-ecosystem responses to inevitable change74, which requires a macroecological understanding of how phenomena at multiple scales can interact. Tree vulnerability to environmental stressors presents only a partial explanation for ...
based object detecting and classifying neural symbolic explainable models [68] can aid the explanations based on not only on coarse grained labels, but more fine grained findings, and provide a wider provenance that traces the explanation to the very source, i.e., at the data acquisition stage...
Finally, we compare the influence in central papers in the citation network of the cluster on the transition of the number of papers. Central papers in the cluster are published in the initial stage of the increase of the number of papers or in the middle of it. The presence of the clust...
there is no interaction between them; conversely, a variance approaching 0 indicates that the signals will be completely fused into an integrated multisensory percept instead. Intermediate values likely result in a coupling of the unimodal signals without necessarily giving rise to sensory fusion....
PointCNT: A One-Stage Point Cloud Registration Approach Based on Complex Network Theory Inspired by the parallel visual pathway model of the human neural system, we propose an efficient and high-precision point cloud registration method based ... X Wu,X Wei,H Xu,... - 《Remote Sensing》 被...
The DA approach requires using target domain data during the training stage and continuously adjusting the network parameters to enhance model performance on the target domain. Adversarial-based DA [16–19] focuses on extracting domain-invariant features of the source and target domains by adversarial...
healthy controls, this also changes during MM progression [92]. Another large metabolomics study compared the BM supernatants and plasma from healthy volunteers and MM patients in ISS stage I–III. They observed a distinct metabolic shift depending on the ISS stage. They found changes in fatty ...