Uses embedding-based similarity to find the most relevant classes from your dataset. This step handles the core classification by computing cosine similarity between the input text and all class ...

Abstract: Pixel-wise classification in remote sensing identifies entities in large-scale satellite-based images at the pixel level. Few fully annotated large-scale datasets for pixel-wise ...

We discuss multiclass-multilabel classification problems in which the set of classes is extremely large. Most existing multiclass-multilabel learning algorithms expect to observe a reasonably large ...