To overcome these issues, we propose a novel Deep Cross-modal Hashing based on Semantic Consistent Ranking (DCH-SCR) that comprehensively investigates the intra-modal semantic similarity relationship. Firstly, to the best of our knowledge, it is an early attempt to preserve semantic similarity for ...
研读Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,程序员大本营,技术文章内容聚合第一站。
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,程序员大本营,技术文章内容聚合第一站。
Recent years have witnessed a surge of interests in cross-modal ranking. To bridge the gap between heterogeneous modalities, many projection based methods have been studied to learn common subspace where the correlation across different modalities can be directly measured. However, these methods generall...
To address these challenges, we propose DE-CLIP, an unsupervised dense counting method based on multimodal deep shared prompts and cross-modal alignment ranking. DE-CLIP constructs hierarchically ordered textual prompts and optimizes the image encoder via cross-modal alignment ranking loss, which en...