Those labeling nets keeps resurfacing in the news. They're more of a hack than a proper implementation. It uses a focus-based algorithm to detect prominent feat

Those labeling nets keeps resurfacing in the news. They're more of a hack than a proper implementation. It uses a focus-based algorithm to detect prominent features and just glues them with NLP without using any context. If it detects a scissor and a paper it might say "Man uses scissors to cut painting" despite no man or painting being present. That's because there's a high statistical correlation between the two in it's dataset. That's it.