Search Results for author:
Found 2 papers, 0 papers with code
Topicwise Separable Sentence Retrieval for Medical Report Generation
To ensure comprehensive learning of both common and rare topics, we categorize queries into common and rare types to learn differentiated topics, and then propose Topic Contrastive Loss to effectively align topics and queries in the latent space.
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
To enable MedRPG to locate nuanced medical findings with better region-phrase correspondences, we further propose Tri-attention Context contrastive alignment (TaCo).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
