👉 In computer vision and machine learning, supersaliency is a technique used to highlight features that are most likely to be relevant or important for classification. It involves identifying specific regions of an image or video that have high levels of saliency (or relevance), which can then be further refined through feature extraction techniques. Supersaliency is often applied in computer vision tasks such as object detection, segmentation, and object recognition. By highlighting the most relevant features, it allows for more accurate and efficient classification
