Definition: "SSNetC1" stands for "Semantic Semantic Net", a technique in neural networks designed to enhance the performance of semantic segmentation tasks, especially when dealing with complex annotations like those in medical images or videos. It's similar to LSTM (Long Short-Term Memory) but has been adapted to handle large text data and skip-gram models. The main goal is to find patterns between tokens from a sentence that are more likely to be part of the sentence itself than words in it, which can significantly improve semantic segmentation tasks.