Variational label enhancement
Label distribution covers a certain number of labels, representing the degree to which each
label describes the instance. When dealing with label ambiguity, label distribution could …
label describes the instance. When dealing with label ambiguity, label distribution could …
Supervised adaptive similarity matrix hashing
Y Shi, X Nie, X Liu, L Zou, Y Yin - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
Compact hash codes can facilitate large-scale multimedia retrieval, significantly reducing
storage and computation. Most hashing methods learn hash functions based on the data …
storage and computation. Most hashing methods learn hash functions based on the data …
Fast discrete cross-modal hashing with regressing from semantic labels
Hashing has recently received great attention in cross-modal retrieval. Cross-modal retrieval
aims at retrieving information across heterogeneous modalities (eg, texts vs. images). Cross …
aims at retrieving information across heterogeneous modalities (eg, texts vs. images). Cross …
Efficient Supervised Graph Embedding Hashing for large-scale cross-media retrieval
T Yao, R Wang, J Wang, Y Li, J Yue, L Yan, Q Tian - Pattern Recognition, 2024 - Elsevier
Recently, graph based hashing has gained much attention due to its effectiveness in multi-
media retrieval. Although several graph embedding based works have been designed and …
media retrieval. Although several graph embedding based works have been designed and …
Discrete fusion adversarial hashing for cross-modal retrieval
Deep cross-modal hashing enables a flexible and efficient way for large-scale cross-modal
retrieval. Existing cross-modal retrieval methods based on deep hashing aim to learn the …
retrieval. Existing cross-modal retrieval methods based on deep hashing aim to learn the …
Fast unmediated hashing for cross-modal retrieval
X Nie, X Liu, X Xi, C Li, Y Yin - IEEE Transactions on Circuits …, 2020 - ieeexplore.ieee.org
Cross-modal hashing is for the purpose of compressing heterogeneous multi-modal data
into compact binary codes for the cross-modal retrieval, where accuracy and efficiency are …
into compact binary codes for the cross-modal retrieval, where accuracy and efficiency are …
Trusted-data-guided label enhancement on noisy labels
Label distribution covers a certain number of labels, representing the degree to which each
label describes the instance. Label enhancement (LE) is a procedure of recovering the label …
label describes the instance. Label enhancement (LE) is a procedure of recovering the label …
Learning explicit and implicit dual common subspaces for audio-visual cross-modal retrieval
Audio-visual tracks in video contain rich semantic information with potential in many
applications and research. Since the audio-visual data have inconsistent distributions and …
applications and research. Since the audio-visual data have inconsistent distributions and …
Reinforced short-length hashing
Given that retrieval and storage have compelling efficiency, similarity-preserving hashing
has been extensively employed to approximate nearest neighbor search in large-scale …
has been extensively employed to approximate nearest neighbor search in large-scale …
Supervised discrete hashing with mutual linear regression
X Liu, X Nie, Q Zhou, Y Yin - Proceedings of the 27th ACM International …, 2019 - dl.acm.org
Supervised linear hashing can compress high-dimensional data into compact binary codes
owing to its efficiency. Generally, the relation between label and hash codes is widely used …
owing to its efficiency. Generally, the relation between label and hash codes is widely used …