Review for NeurIPS paper: Hierarchical Granularity Transfer Learning

Summary and Contributions: The paper proposes a new task named Hierarchical Granularity Transfer Learning (HGTL) and a new network architecture called Bi-granularity Semantic Preserving Network (BigSPN). HGTL has only basic category labels and semantic descriptions for hierarchical categories. The goal is to recognize sub-category levels without annotations for sub-category levels. In this paper, 2 levels (basic, subordinate) are considered. Semantic descriptions are typically attributes, keywords or text descriptions.