Abstract: A method for context based separation between vehicle pixels and background pixels, which may include receiving a first image and a second image, the first image and the second images are of temporarily adjacent to each other and capture a same vehicle and background content. The method may also include obtaining a first bounding box that surrounds at least a part of the vehicle within the first image; wherein the first bounding has a first width and a first height; obtaining a second bounding box that surrounds at least the part of the vehicle within the second image; wherein the second bounding box has a second width and a second height; obtaining a mapping between pairs of initially matched pixels, wherein each pair comprises a first pixel and a second pixel that correspond to same entity portion, wherein the entity portion is a portion of the vehicle or of the background content.

Abstract: In some embodiments, a computer-implemented method for constructing a taxonomy graph using a machine learning framework comprises preparing target data comprising target entity pairs, target entity features, and target context features, each target entity pair comprising a first target entity and a second target entity, the target context feature comprising a target sentence embedding of a target sentence that includes the first target entity and the second target entity, the preparing of the target data comprising: for each target entity pair, including the target entity pair in the target data based on a determination that the first target entity and the second target entity of the target entity pair are present in the target sentence; and generating a target taxonomy graph using a trained classification model, the target taxonomy graph comprising a hierarchical structure, the generating the target taxonomy graph comprising inputting the target data into the trained classification model.

Abstract: A method for context based separation between vehicle pixels and background pixels, which may include receiving a first image and a second image, the first image and the second images are of temporarily adjacent to each other and capture a same vehicle and background content. The method may also include obtaining a first bounding box that surrounds at least a part of the vehicle within the first image; wherein the first bounding has a first width and a first height; obtaining a second bounding box that surrounds at least the part of the vehicle within the second image; wherein the second bounding box has a second width and a second height; obtaining a mapping between pairs of initially matched pixels, wherein each pair comprises a first pixel and a second pixel that correspond to same entity portion, wherein the entity portion is a portion of the vehicle or of the background content.