Global-Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image-Text Retrieval
G Hu, Z Wen, Y Lv, J Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cross-modal remote-sensing image–text retrieval (CMRSITR) is a challenging task that aims
to retrieve target remote-sensing (RS) images based on textual descriptions. However, the …
to retrieve target remote-sensing (RS) images based on textual descriptions. However, the …
Remote sensing cross-modal text-image retrieval based on global and local information
Cross-modal remote sensing text-image retrieval (RSCTIR) has recently become an urgent
research hotspot due to its ability of enabling fast and flexible information extraction on …
research hotspot due to its ability of enabling fast and flexible information extraction on …
Interacting-enhancing feature transformer for cross-modal remote-sensing image and text retrieval
Cross-modal remote-sensing image–text retrieval (CMRSITR) is a challenging topic in the
remote-sensing (RS) community. It has gained growing attention because it can be flexibly …
remote-sensing (RS) community. It has gained growing attention because it can be flexibly …
Exploring uni-modal feature learning on entities and relations for remote sensing cross-modal text-image retrieval
Remote sensing cross-modal text-image retrieval (RSCTIR) has recently received
unprecedented attention due to its advantages of flexible input and efficient query on …
unprecedented attention due to its advantages of flexible input and efficient query on …
Multi-scale interactive transformer for remote sensing cross-modal image-text retrieval
Cross-modal Remote sensing (RS) image-text retrieval (CMR-SITR) plays a crucial role in
the RS community. A common way for CMRSITR is to extract texts and RS images' feature …
the RS community. A common way for CMRSITR is to extract texts and RS images' feature …
An end-to-end framework based on vision-language fusion for remote sensing cross-modal text-image retrieval
L He, S Liu, R An, Y Zhuo, J Tao - Mathematics, 2023 - mdpi.com
Remote sensing cross-modal text-image retrieval (RSCTIR) has recently attracted extensive
attention due to its advantages of fast extraction of remote sensing image information and …
attention due to its advantages of fast extraction of remote sensing image information and …
A deep semantic alignment network for the cross-modal image-text retrieval in remote sensing
Q Cheng, Y Zhou, P Fu, Y Xu… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Because of the rapid growth of multimodal data from the internet and social media, a cross-
modal retrieval has become an important and valuable task in recent years. The purpose of …
modal retrieval has become an important and valuable task in recent years. The purpose of …
Masking-Based Cross-Modal Remote Sensing Image-Text Retrieval via Dynamic Contrastive Learning
Z Zhao, X Miao, C He, J Hu, B Min… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Cross-modal remote sensing image-text retrieval (CMRSITR) aims to extract comprehensive
information from diverse modalities. The primary challenge in this field is developing …
information from diverse modalities. The primary challenge in this field is developing …
Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval
Remote sensing (RS) cross-modal text-image retrieval has attracted extensive attention for
its advantages of flexible input and efficient query. However, traditional methods ignore the …
its advantages of flexible input and efficient query. However, traditional methods ignore the …
A lightweight multi-scale crossmodal text-image retrieval method in remote sensing
Remote sensing (RS) crossmodal text-image retrieval has become a research hotspot in
recent years for its application in semantic localization. However, since multiple inferences …
recent years for its application in semantic localization. However, since multiple inferences …