Fetching the paper…
Reading the bibliography…
The remote sensing image intelligence understanding model is undergoing a new profound paradigm shift which has been promoted by multi-modal large language model (MLLM), i.e.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei · 2015
Earlier work this paper cites.
Cider: Consensus-based image description evaluation, 2015
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh · 2015
Earlier work this paper cites.
Deep semantic understanding of high resolution remote sensing image
Bo Qu, Xuelong Li, Dacheng Tao, and Xiaoqiang Lu · 2016
Earlier work this paper cites.
Spice: Semantic propositional image caption evaluation, 2016
Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould · 2016
Earlier work this paper cites.
Aid: A benchmark data set for performance evaluation of aerial scene classification
Gui-Song Xia, Jingwen Hu, Fan Hu, Baoguang Shi, Xiang Bai, Yanfei Zhong, Liangpei Zhang, and Xiaoqiang Lu · 2017
Earlier work this paper cites.
Exploring models and data for remote sensing image caption generation
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, and Xuelong Li · 2017
Earlier work this paper cites.
Visualbert: A simple and performant baseline for vision and language
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang · 2019
Earlier work this paper cites.
Rsvqa: Visual question answering for remote sensing data
Sylvain Lobry, Diego Marcos, Jesse Murray, and Devis Tuia · 2020
Earlier work this paper cites.
Object detection in optical remote sensing images: A survey and a new benchmark
Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, and Junwei Han · 2020
Earlier work this paper cites.
Rsvqa: Visual question answering for remote sensing data
Sylvain Lobry, Diego Marcos, Jesse Murray, and Devis Tuia · 2020
Earlier work this paper cites.
Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery, 2021
Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, and Kun Fu · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
On creating benchmark dataset for aerial image interpretation: Reviews, guidances and million-aid
Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, and Deren Li · 2021
Cited alongside, same era.
Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, and Robin Roberson Murphy · 2021
Cited alongside, same era.
Lora: Low-rank adaptation of large language models, 2021
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Cited alongside, same era.
Nwpu-captions dataset and mlca-net for remote sensing image captioning
Qimin Cheng, Haiyan Huang, Yuan Xu, Yuzhuo Zhou, Huanying Li, and Zhongyuan Wang · 2022
Cited alongside, same era.
Vision-language instruction tuning: A review and analysis
Chen Li, Yixiao Ge, Dian Li, and Ying Shan · 2023
Later among the works it cites.
Ferret: Refer and ground anything anywhere at any granularity
Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, and Yinfei Yang · 2023
Later among the works it cites.
Principled instructions are all you need for questioning llama-1/2, gpt-3.5/4
Sondos Mahmoud Bsharat, Aidar Myrzakhan, and Zhiqiang Shen · 2023
Later among the works it cites.
Rsvg: Exploring data and models for visual grounding on remote sensing data
Yang Zhan, Zhitong Xiong, and Yuan Yuan · 2023
Later among the works it cites.
Moelora: An moe-based parameter efficient fine-tuning method for multi-task medical applications
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval
Zhiqiang Yuan, Wenkai Zhang, Kun Fu, Xuan Li, Chubo Deng, Hongqi Wang, and Xian Sun · 2022
Cited alongside, same era.
Bi-modal transformer-based approach for visual question answering in remote sensing imagery
Yakoub Bazi, Mohamad Mahmoud Al Rahhal, Mohamed Lamine Mekhalfi, Mansour Abdulaziz Al Zuair, and Farid Melgani · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Cited alongside, same era.
Samrs: Scaling-up remote sensing segmentation dataset with segment anything model, 2023
Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, and Liangpei Zhang · 2023
Cited alongside, same era.
Skyscript: A large and semantically diverse vision-language dataset for remote sensing, 2023
Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, and Ram Rajagopal · 2023
Cited alongside, same era.
Visual instruction tuning towards general-purpose multimodal model: A survey
Jiaxing Huang, Jingyi Zhang, Kai Jiang, Han Qiu, and Shijian Lu · 2023
Cited alongside, same era.
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, and Yefeng Zheng · 2023
Later among the works it cites.
A spatial hierarchical reasoning network for remote sensing visual question answering
Zixiao Zhang, Licheng Jiao, Lingling Li, Xu Liu, Puhua Chen, Fang Liu, Yuxuan Li, and Zhicheng Guo · 2023
Later among the works it cites.
Qwen-vl: A frontier large vision-language model with versatile abilities
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou · 2023
Later among the works it cites.
Improved baselines with visual instruction tuning
Haotian Liu, Chunyuan Li, Yuheng Li, and Yong Jae Lee · 2023
Later among the works it cites.
Changenet: Multi-temporal asymmetric change detection dataset, 2024
Deyi Ji, Siqi Gao, Mingyuan Tao, Hongtao Lu, and Feng Zhao · 2024
Closest in time.
Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model, 2024
Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, and Pengfeng Xiao · 2024
Closest in time.
Wei Zhang, Miaoxin Cai, Tong Zhang, Yin Zhuang, and Xuerui Mao · 2024
Closest in time.
Rs-llava: A large vision-language model for joint captioning and question answering in remote sensing imagery
Yakoub Bazi, Laila Bashmal, Mohamad Mahmoud Al Rahhal, Riccardo Ricci, and Farid Melgani · 2024
Closest in time.
H2rsvlm: Towards helpful and honest remote sensing large vision language model, 2024
Chao Pang, Jiang Wu, Jiayu Li, Yi Liu, Jiaxing Sun, Weijia Li, Xingxing Weng, Shuai Wang, Litong Feng, Gui-Song Xia, and Conghui He · 2024
Closest in time.
Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2024
Closest in time.