However, the task still faces challenges in modeling long-term dependencies, complex spatial interactions, and multi-scale feature fusion. To address these issues, this paper proposes the ...

Follow TAPVid-3D to download the data. We only use the ADT and PStudio subsets. You need to download the version with camera extrinsics annotation according to this ...

The growing availability of spatial transcriptomics data offers key resources for ... Here, we present stGuide, an attention-based supervised graph learning model designed for cross-slice alignment ...

Also, THX’s exclusive high-performance general Head Related Transfer Function (HRTF) with timbral compensation is built based on the analysis of 400 spatial points and applied seamlessly to all ...

The objective is to assess an urban microclimate CFD model through temporal and spatial ... to better reflect the unique characteristics of the urban environment and the factors that influence ...

and spectral-spatial spaces, utilizing pyramid squeeze attention to prioritize their importance. Additionally, we introduce a Graph Attention Feature Processor (GAFP) module that evaluates the ...

These outcomes indicate the possibility of enhancement through the expansion of the training dataset, thereby better addressing the network ... In this phase, spatial information and features are ...