FreBlock 4. FSIB结构: Fuse Block 二. 表达: 1. For PSNR-oriented model, both pixel-level and frequency-level loss functions are adopted to guide the learning of the network.
Spatial-temporal modelingMutual learningObject associationOnline multi-object tracking (MOT) is a longstanding task for computer vision and intelligent vehicle platform. At present, the main paradigm is tracking-by-detection, and the main difficulty of this paradigm is how to associate current candidate...
The rapid advancement of spatial transcriptomics technologies has revolutionized our understanding of cell heterogeneity and intricate spatial structures within tissues and organs. However, the high dimensionality and noise in spatial transcriptomic data
Thus, the frequency of mutual transformation between cooperators and Conclusions In this paper, the effect of delayed decisions on evolution of cooperation is studied. When the time interval between generation which payoff information is generated and current generation is set to 0 (m = 0), our ...
Currently, most of the spatial omics frameworks study the cell type neighboring frequency30, probability39, and cell-cell interaction40 but not in cell competition from a metabolomic aspect. Therefore, we developed a single-cell multi-omics competition framework by comparing neighboring cell type ...
1d. (e) % active neurons (firing frequency between 0.1 and 7 Hz) decays with familiarity with the environment (number of times the animal has been exposed to the environment). Each data point is a session. Straight line shows the least-squares fit. r = −0.9174, with associated...
Spatial omics technologies can help identify spatially organized biological processes, but existing computational approaches often overlook structural dependencies in the data. Here, we introduce Smoother, a unified framework that integrates positional i
The mutual fusion of the two can better model the interrelationship between HSI and RGB image, thereby achieving better SSR performance. In FSDFF, we design a frequency domain feature learning branch (FDFL) and a spatial domain feature learning branch (SDFL) to learn the frequency and spatial ...
If higher frequency information is of importance for the area of interest, then it is more appropriate to use a point description of the field. This form of a description is called in geodesy the spatial form. Above we have seen only examples of spatial expressions, in the article “Global...
Fig. 22.The method of[31]to estimate the severity of depression. It can be divided into five steps: (1) Multi-channel human behavior primitives are extracted from videos; (2) Human behavior primitives are then transformed into spectral signals with multiple frequency patterns from all frames; ...