Authors:
(1) Yingxu He, Department of Computer Science National University of Singapore {[email protected]};
(2) Qiqi Sun, College of Life Sciences Nankai University {[email protected]}.
Table of Links
References
[1] Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, and Luke Zettlemoyer. CM3: A causal masked multimodal model of the internet. CoRR, abs/2201.07520, 2022.
[2] Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang. Object detection in aerial images: A large-scale benchmark and challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–1, 2021.
[3] Jon Kleinberg and Eva Tardos. Algorithm Design. Addison-Wesley Longman Publishing Co., Inc., USA, 2005. [4] Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, and Brendan McCord. xview: Objects in context in overhead imagery. CoRR, abs/1802.07856, 2018.
[5] Junnan Li, Dongxu Li, Caiming Xiong, and Steven C. H. Hoi. BLIP: bootstrapping language-image pre-training for unified vision-language understanding and generation. CoRR, abs/2201.12086, 2022.
[6] Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng, and Xuelong Li. Exploring models and data for remote sensing image caption generation. IEEE Transactions on Geoscience and Remote Sensing, 56(4):2183–2195.
[7] OpenAI. Introducing chatgpt, Nov 2022.
[8] Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. Cider: Consensus-based image description evaluation, 2015.
[9] Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, and Lijuan Wang. Git: A generative image-to-text transformer for vision and language, 2022.
[10] Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. React: Synergizing reasoning and acting in language models, 2023.
[11] Xi Ye and Greg Durrett. The unreliability of explanations in few-shot prompting for textual reasoning, 2022.
[12] Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, and Armen Aghajanyan. Scaling autoregressive multi-modal models: Pretraining and instruction tuning, 2023.
[13] Wenqi Zhang, Yongliang Shen, Weiming Lu, and Yueting Zhuang. Data-copilot: Bridging billions of data and humans with autonomous workflow, 2023.
This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license.