Fetching the paper…
Reading the bibliography…
Remote sensing (RS) visual grounding aims to use natural language expression to locate specific objects (in the form of the bounding box or segmentation mask) in RS images, enhancing human interaction with intelligent RS interpretation systems.
Decoupled weight decay regularization
I Loshchilov · 2017
Earlier work this paper cites.
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
Michele Volpi and Devis Tuia · 2018
Earlier work this paper cites.
Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
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.
Phrasecut: Language-based image segmentation in the wild
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, and Subhransu Maji · 2020
Earlier work this paper cites.
Pix2seq: A language modeling framework for object detection
Ting Chen, Saurabh Saxena, Lala Li, David J Fleet, and Geoffrey Hinton · 2021
Earlier work this paper cites.
Recurrent attention and semantic gate for remote sensing image captioning
Yunpeng Li, Xiangrong Zhang, Jing Gu, Chen Li, Xin Wang, Xu Tang, and Licheng Jiao · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Global visual feature and linguistic state guided attention for remote sensing image captioning
Zhengyuan Zhang, Wenkai Zhang, Menglong Yan, Xin Gao, Kun Fu, and Xian Sun · 2021
Earlier work this paper cites.
Georgii Mikriukov, Mahdyar Ravanbakhsh, and Begüm Demir · 2022
Cited alongside, same era.
Detecting rotated objects as gaussian distributions and its 3-d generalization
Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, and Junchi Yan · 2022
Cited alongside, same era.
Mmrotate: A rotated object detection benchmark using pytorch
Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, et al · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Geochat: Grounded large vision-language model for remote sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, and Fahad Shahbaz Khan · 2024
Closest in time.
Lisa: Reasoning segmentation via large language model
Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia · 2024
Closest in time.
Rotated multi-scale interaction network for referring remote sensing image segmentation
Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, and Rongrong Ji · 2024
Closest in time.
Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, and Pengfeng Xiao · 2024
Closest in time.
H2rsvlm: Towards helpful and honest remote sensing large vision language model
Chao Pang, Jiang Wu, Jiayu Li, Yi Liu, Jiaxing Sun, Weijia Li, Xingxing Weng, Shuai Wang, Litong Feng, Gui-Song Xia, et al · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
Cited alongside, same era.
Kosmos-2: Grounding multimodal large language models to the world
Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, and Furu Wei · 2023
Cited alongside, same era.
Rsvg: Exploring data and models for visual grounding on remote sensing data
Yang Zhan, Zhitong Xiong, and Yuan Yuan · 2023
Cited alongside, same era.
Next-chat: An lmm for chat, detection and segmentation
Ao Zhang, Liming Zhao, Chen-Wei Xie, Yun Zheng, Wei Ji, and Tat-Seng Chua · 2023
Cited alongside, same era.
Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Cited alongside, same era.
Minigpt-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechun Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, and Mohamed Elhoseiny
Cited in the paper.
Shikra: Unleashing multimodal llm’s referential dialogue magic
Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, and Rui Zhao
Cited in the paper.
Closest in time.
Pixellm: Pixel reasoning with large multimodal model
Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, and Xiaojie Jin · 2024
Closest in time.
Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Wenhai Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, et al · 2024
Closest in time.
Rrsis: Referring remote sensing image segmentation
Zhenghang Yuan, Lichao Mou, Yuansheng Hua, and Xiao Xiang Zhu · 2024
Closest in time.
Exploring fine-grained image-text alignment for referring remote sensing image segmentation
Sen Lei, Xinyu Xiao, Tianlin Zhang, Heng-Chao Li, Zhenwei Shi, and Qing Zhu · 2025
Closest in time.