1 citations · 1 across the 4 of their papers we have counts for
4 papers
Filter Pruning based on Information Capacity and Independence
Xiaolong Tang, Shuo Ye, Yufeng Shi +3
Filter pruning has gained widespread adoption for the purpose of compressing and speeding up convolutional neural networks (CNNs). However, existing approaches are still far from p…
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval
Yufeng Shi, Xinge You, Jiamiao Xu +3
Hashing that projects data into binary codes has shown extraordinary talents in cross-modal retrieval due to its low storage usage and high query speed. Despite their empirical suc…
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval
Yufeng Shi, Shujian Yu, Duanquan Xu +1
Zero-shot cross-modal retrieval (ZS-CMR) deals with the retrieval problem among heterogenous data from unseen classes. Typically, to guarantee generalization, the pre-defined class…
Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis
Yufeng Shi, Shuhuang Chen, Xinge You +3
Mapping X-ray images, radiology reports, and other medical data as binary codes in the common space, which can assist clinicians to retrieve pathology-related data from heterogeneo…