The phrase "model depth" is correct and can be used in written English.
It refers to the level of complexity or intricacy in a model or representation of a system, concept, or idea. Example: The success of the project will depend on the accuracy and model depth of our data analysis.
Additionally, in lacking of high modeling capacity constrained by of model depth, the high-level visual cues like object interaction, scene context and pose variations concurrent with human action also could become the extrinsic and intrinsic challenges for the traditional deep convolutional networks.
Prices start at €780,000 and can go up to €2.4 million depending on the model, depth rating and other options.
Error in 2D model depth prediction averaged 21%.
The effect of model depth (Fig. 9c) is substantial for depths less than about 50 m.
Model depth is uniformly set to 12 km, and the top surface is based on topography.
Model depth and sentence length are positively related to the accuracy.
The shallow water equations (SWE) are widely used to model depth-averaged free-surface flows.
In a run of records at the tail-end of the 90s, Kompakt Records co-founder Wolfgang Voigt laid out a strange and strangely enduring model: depth-charge rumblings combined with textures that alternate between crystalline clarity and scabrous static.
Modeling depth is always a good thing and that's where a teacher willing to be vulnerable is helpful.
Depth-pooling models This type of model combines depth saliency maps and traditional 2D saliency maps simply to obtain saliency maps for RGB-D images [19 22].
Where we model cell depth, we assume that each cell type has a typical depth, and thus a Gaussian distribution of s i.
