Transcending fusion: A multi-scale alignment method for remote sensing image-text retrieval
Remote Sensing Image-Text Retrieval (RSITR) is pivotal for knowledge services and data
mining in the remote sensing (RS) domain. Considering the multi-scale representations in …
mining in the remote sensing (RS) domain. Considering the multi-scale representations in …
Remote Sensing Temporal Vision-Language Models: A Comprehensive Survey
Temporal image analysis in remote sensing has traditionally centered on change detection,
which identifies regions of change between images captured at different times. However …
which identifies regions of change between images captured at different times. However …
Pmho: Point-supervised oriented object detection based on segmentation-driven proposal generation
Oriented object detection has gained increasing attention due to its ability to detect objects
with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious …
with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious …
Scale-aware adaptive refinement and cross interaction for remote sensing audio-visual cross-modal retrieval
Remote sensing (RS) audio-visual cross-modal retrieval is a challenging task in the search
of meaningful RS information. Nevertheless, the impact of multiscale features and …
of meaningful RS information. Nevertheless, the impact of multiscale features and …
Cross-modal pre-aligned method with global and local information for remote-sensing image and text retrieval
Z Sun, M Zhao, G Liu, A Kaup - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, remote sensing cross-modal text-image retrieval (RSCTIR) has attracted
considerable attention owing to its convenience and information mining capabilities …
considerable attention owing to its convenience and information mining capabilities …
Accurate and Lightweight Learning for Specific Domain Image-Text Retrieval
R Yang, S Wang, J Tao, Y Han, Q Lin, YH Guo… - Proceedings of the …, 2024 - dl.acm.org
Recent advances in vision-language pre-trained models like CLIP have greatly enhanced
general domain image-text retrieval performance. This success has led scholars to develop …
general domain image-text retrieval performance. This success has led scholars to develop …
Remote Sensing Image-Text Retrieval with Implicit-Explicit Relation Reasoning
Remote sensing image-text retrieval (RSITR) has become a research hotspot in recent years
for its wide application. Existing methods in this context, based either on local or global …
for its wide application. Existing methods in this context, based either on local or global …
Separable Deep Graph Convolutional Network Integrated with CNN and Prototype Learning for Hyperspectral Image Classification
Y Lu, S Mei, F Xu, M Ma, X Wang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Graph convolutional networks (GCNs) have garnered extensive attention in the realm of
hyperspectral image (HSI) classification. However, due to the problem of oversmoothing …
hyperspectral image (HSI) classification. However, due to the problem of oversmoothing …
Spatial-Channel Attention Transformer with Pseudo Regions for Remote Sensing Image-Text Retrieval
Recently, remote sensing image-text retrieval (RSITR) has received significant attention due
to its flexible query form and effective management of remote sensing images. However …
to its flexible query form and effective management of remote sensing images. However …
Thread the Needle: Cues-Driven Multi-Association for Remote Sensing Cross-Modal Retrieval
Rapid advances in earth observation technologies have yielded numerous remotely sensed
images and corresponding text data, enabling cross-modal image-text retrieval to extract …
images and corresponding text data, enabling cross-modal image-text retrieval to extract …