- Remote Sensing Image Captioning with Label|Attention Mechanism🔍
- Scene Attention Mechanism for Remote Sensing Image Caption ...🔍
- Exploring region features in remote sensing image captioning🔍
- A Multi|Level Attention Model for Remote Sensing Image Captions🔍
- iOPENCap/awesome|remote|image|captioning🔍
- High Resolution Remote Sensing Image Captioning Using Group ...🔍
- Remote sensing image captioning with Label|Attention Mechanism🔍
- A Review of Deep Learning|Based Remote Sensing Image Caption🔍
Remote Sensing Image Captioning with Label|Attention Mechanism
Remote Sensing Image Captioning with Label-Attention Mechanism
LAM additionally utilizes the label information of high-resolution remote sensing images to generate natural sentences to describe the given images.
(PDF) LAM: Remote Sensing Image Captioning with Label-Attention ...
Significant progress has been made in remote sensing image captioning by encoder-decoder frameworks. The conventional attention mechanism is ...
Scene Attention Mechanism for Remote Sensing Image Caption ...
Remote sensing images play an important role in various applications. To make it easier for humans to understand remote sensing images, the task of remote ...
Exploring region features in remote sensing image captioning
(2019a) proposed a label attention mechanism (LAM) that utilises label information from high-resolution remote sensing images to guide the text-generation ...
A Multi-Level Attention Model for Remote Sensing Image Captions
However, the attention mechanism currently used in this task is mainly aimed at images, which is too simple to express such a complex task well. Therefore, in ...
iOPENCap/awesome-remote-image-captioning - GitHub
This paper proposes a multi-level attention model for remote sensing image captioning, which mimics human attention mechanisms by incorporating three attention ...
High Resolution Remote Sensing Image Captioning Using Group ...
This paper proposes a remote sensing image description generation method based on group convolutional neural network and attention mechanism to address the ...
Remote sensing image captioning with Label-Attention Mechanism
Significant progress has been made in remote sensing image captioning by encoder-decoder frameworks. The conventional attention mechanism is ...
A Review of Deep Learning-Based Remote Sensing Image Caption
We introduce the current progress of RSIC from the aspects of encoder–decoder framework, attention mechanism, reinforcement learning, auxiliary task learning, ...
Generating the captions for remote sensing images: A spatial ...
A novel fully-attentive framework entitled Spatial-Channel Attention based MEmory-guided Transformer (SCAMET) is proposed, which calibrates multilevel visual ...
[PDF] High-Resolution Remote Sensing Image Captioning Based on ...
A fine-grained, structured attention-based method is proposed to utilize the structural characteristics of semantic contents in high-resolution remote ...
Region-guided transformer for remote sensing image captioning
We propose a region-guided decoder that enhances the model's perception of different features through a weighted cross-attention mechanism.
A Lightweight Sparse Focus Transformer for Remote Sensing Image ...
The proposed SFT network can reduce the parameter number and computational complexity by incorporating a sparse attention mechanism within the ...
Scene Attention Mechanism for Remote Sensing Image Caption ...
A new attention mechanism called scene attention is proposed that simultaneously explores the global visual information from the mean feature of all ...
arXiv:2105.04996v1 [cs.CV] 11 May 2021
ABSTRACT. The spatial attention is a straightforward approach to enhance the performance for remote sensing image captioning. How-.
MULTI-SCALE CROPPING MECHANISM FOR REMOTE SENSING ...
Recently, remote sensing image captioning, which aims to generate accurate and concise descriptive sen- tences for remote sensing images, has been promoted by.
A Multi-Level Attention Model for Remote Sensing Image Captions
However, the attention mechanism currently used in this task is mainly aimed at images, which is too simple to express such a complex task well.
Incorporating object counts into remote sensing image captioning
... caption generating model P ( ⋅ ; Θ P ) is implemented by using a long short-term memory (LSTM) model with self-attention mechanism (Rennie et al.
IJETT - International Journal of Engineering Trends and Technology
An Attention Mechanism and GRU Based Deep Learning Model for Automatic Image Captioning. ... Member, Remote Sensing Image Captioning, IEEE J. Sel. Top. Appl.
Remote Sensing Image Captioning via Multilevel Attention-Based ...
Remote Sensing Image Captioning via Multilevel Attention-Based Visual Question Answering ... remote sensing images using attribute attention mechanism. Remote ...