Deep multi-view learning methods: A review
Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …
success by exploiting complementary information of multiple features or modalities …
A review on methods and applications in multimodal deep learning
Deep Learning has implemented a wide range of applications and has become increasingly
popular in recent years. The goal of multimodal deep learning (MMDL) is to create models …
popular in recent years. The goal of multimodal deep learning (MMDL) is to create models …
[HTML][HTML] Information retrieval meets large language models: a strategic report from chinese ir community
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond
traditional search to meet diverse user information needs. Recently, Large Language …
traditional search to meet diverse user information needs. Recently, Large Language …
Binding touch to everything: Learning unified multimodal tactile representations
The ability to associate touch with other modalities has huge implications for humans and
computational systems. However multimodal learning with touch remains challenging due to …
computational systems. However multimodal learning with touch remains challenging due to …
[HTML][HTML] Multibench: Multiscale benchmarks for multimodal representation learning
Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
Detecting fake news by exploring the consistency of multimodal data
During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news
has caused serious social panic. Fake news often uses multimedia information such as text …
has caused serious social panic. Fake news often uses multimedia information such as text …
Hyperspectral and multispectral classification for coastal wetland using depthwise feature interaction network
The monitoring of coastal wetlands is of great importance to the protection of marine and
terrestrial ecosystems. However, due to the complex environment, severe vegetation …
terrestrial ecosystems. However, due to the complex environment, severe vegetation …
Joint-modal distribution-based similarity hashing for large-scale unsupervised deep cross-modal retrieval
Hashing-based cross-modal search which aims to map multiple modality features into binary
codes has attracted increasingly attention due to its storage and search efficiency especially …
codes has attracted increasingly attention due to its storage and search efficiency especially …
Multi-modal hashing for efficient multimedia retrieval: A survey
With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …
Learning cross-modal retrieval with noisy labels
Recently, cross-modal retrieval is emerging with the help of deep multimodal learning.
However, even for unimodal data, collecting large-scale well-annotated data is expensive …
However, even for unimodal data, collecting large-scale well-annotated data is expensive …