4.6 Article

Multi-label enhancement based self-supervised deep cross-modal hashing

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

Multi-label semantics preserving based deep cross-modal hashing

Xitao Zou et al.

Summary: This paper introduces a deep cross-modal hashing method based on multi-label semantics preservation, aiming to improve the accuracy of hashing retrieval by leveraging multiple labels of training data. Experimental results demonstrate that the proposed method outperforms prominent baselines and achieves state-of-the-art performance in cross-modal hashing retrieval.

SIGNAL PROCESSING-IMAGE COMMUNICATION (2021)

Article Computer Science, Artificial Intelligence

Semi-supervised cross-modal image generation with generative adversarial networks

Dan Li et al.

PATTERN RECOGNITION (2020)

Article Computer Science, Artificial Intelligence

CycleMatch: A cycle-consistent embedding network for image-text matching

Yu Liu et al.

PATTERN RECOGNITION (2019)

Article Computer Science, Artificial Intelligence

Generalized Semantic Preserving Hashing for Cross-Modal Retrieval

Devraj Mandal et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

Article Computer Science, Information Systems

CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning

Yuxin Peng et al.

ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS (2019)

Article Engineering, Electrical & Electronic

An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges

Yuxin Peng et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)

Article Computer Science, Artificial Intelligence

Triplet-Based Deep Hashing Network for Cross-Modal Retrieval

Cheng Deng et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Computer Science, Artificial Intelligence

A Survey on Learning to Hash

Jingdong Wang et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Computer Science, Artificial Intelligence

Recent advances in convolutional neural networks

Jiuxiang Gu et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Artificial Intelligence

Deep Discrete Cross-Modal Hashing for Cross-Media Retrieval

Fangming Zhong et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Artificial Intelligence

Deep binary codes for large scale image retrieval

Song Wu et al.

NEUROCOMPUTING (2017)

Article Computer Science, Artificial Intelligence

Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval

Kaiye Wang et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)

Review Computer Science, Artificial Intelligence

Deep learning for visual understanding: A review

Yanming Guo et al.

NEUROCOMPUTING (2016)

Article Computer Science, Artificial Intelligence

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Image-Text Cross-Modal Retrieval via Modality-Specific Feature Learning

Jian Wang et al.

ICMR'15: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (2015)

Article Computer Science, Artificial Intelligence

A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics

Yunchao Gong et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2014)

Article Computer Science, Artificial Intelligence

Semi-Supervised Hashing for Large-Scale Search

Jun Wang et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)

Article Computer Science, Artificial Intelligence

The segmented and annotated IAPR TC-12 benchmark

Hugo Jair Escalante et al.

COMPUTER VISION AND IMAGE UNDERSTANDING (2010)