deepV
deepV is a term encountered in several domains, most commonly in computer vision and imaging, where it is used as a shorthand for deep video or deep vision systems that apply deep learning to video data. In this usage, deepV denotes models or architectures that extract and fuse spatial and temporal features to perform tasks such as action recognition, video segmentation, denoising, or depth estimation from monocular or stereo video. The exact implementations vary widely and there is no single standard architecture associated with the name.
In depth estimation literature, some researchers use deepV as part of model names or descriptions for networks
In other domains, deepV may appear as a brand, product name, or project title unrelated to vision,
Overall, the term deepV is ambiguous and its meaning depends on the context. When encountered, it is