Chuanwen Hou

Fine-Grained matching with multi-perspective similarity modeling for cross-modal retrieval

Cross-modal retrieval relies on learning inter-modal correspondences. Most existing approaches focus on learning global or local correspondence and fail to explore fine-grained multi-level alignments. Moreover, it remains to be investigated how to infer more accurate similarity scores. In this paper…