Video object segmentation allows computer vision to identify objects as they move through the space in a given video. Here we presents One-Shot Video Object Segmentation (OSVOS), a CNN architecture to tackle the problem of semisupervised video object segmentation, that is, the classification of all pixels of a video sequence into background and foreground,given the manual annotation of one of its frames.