most citedDeep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis

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cs.CV2023

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…

cs.CV2022

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…