【论文笔记】Meta captioning: A meta learning based remote sensing image captioning framework 美丽小妞儿 愿你我此生,野蛮生长,永不彷徨2 人赞同了该文章 目录 收起 一、引言 二、相关工作 三、方法 (一)自然图像分类 (二)遥感图像分类 (三)遥感图像描述 四、优化 一、引言 本文贡献 元字幕框架的特点...
Although the structure characteristic makes remote sensing images widely divergent to natural images and poses a greater challenge for the remote sensing image captioning task, the key of most remote sensing captioning methods is usually borrowed from the computer vision community without considering the ...
Here, we provide the pytorch implementation of the paper: "Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset".For more information, please see our published paper in [IEEE | Lab Server] (Accepted by TGRS 2022)...
RSCaMa: Remote Sensing Image Change Captioning with State Space Model - GitHub - Chen-Yang-Liu/RSCaMa: RSCaMa: Remote Sensing Image Change Captioning with State Space Model
Remote sensing image captioning (RSIC), which aims at generating a well-formed sentence for a remote sensing image, has attracted more attention in recent years. The general framework for RSIC is the encoder-decoder architecture containing two submodels of encoder and decoder. Although the significa...
In this work, we investigate unexplored ideas for remote sensing image captioning task, using a novel patch-level region-aware module with a multi-label framework. Due to an overhead perspective and a significantly larger scale in RSIs, a patch-level region-aware module is designed to filter ...
CMIDCMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingTGRS2023CMIDlink RingMo-SenseRingMo-Sense: Remote Sensing Foundation Model for Spatiotemporal Prediction via Spatiotemporal Evolution DisentanglingTGRS2023RingMo-Sensenull ...
RS-CapRetLarge Language Models for Captioning and Retrieving Remote Sensing ImagesArxiv2024PapernullImage Caption & Text-image Retrieval -Task Specific Pretraining with Noisy Labels for Remote sensing Image SegmentationArxiv2024PapernullImage Segmentation (Noisy labels) ...
For remote sensing image (RSI) captioning tasks, two-stage RSI captioning methods have achieved high performance because they introduce the results of other RSI tasks, such as image classification as prior information. However, most previous works treat image classification in the two-stage RSI capti...
In this paper, we delve into the innovative application of large language models (LLMs) and their extension, large vision-language models (LVLMs), in the field of remote sensing (RS) image analysis. We particularly emphasize their multi-tasking potential with a focus on image captioning and ...