4 accepted papers
Text-video retrieval aims to bridge vision and language areas, which is a crucial task in multi-modal intelligence. The core idea is to learn video and textual features to quantify their semantic relevance. A common limitation in current approaches is the oversimplification of video content, where c
Text Normalization (TN) is a pivotal pre-processing procedure in speech synthesis systems, which converts diverse forms of text into a canonical form suitable for correct synthesis. This work introduces a novel model, TNFormer, which innovatively transforms the TN task into a next token prediction p…
Mitochondria, as tiny structures within the cell, are of significant importance to study cell functions for biological and clinical analysis. And exploring how to automatically segment mitochondria in electron microscopy (EM) images has attracted increasing attention. However, most of existing metho…
Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels, which has better scalability and practicability than fully supervised methods in the actual deployment. However, with only image-level labels, learning object classification models tends to activate o…