[HTML][HTML] Review of large vision models and visual prompt engineering

J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai… - Meta-Radiology, 2023 - Elsevier
Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …

Domain specialization as the key to make large language models disruptive: A comprehensive survey

C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

Samrs: Scaling-up remote sensing segmentation dataset with segment anything model

D Wang, J Zhang, B Du, M Xu, L Liu… - Advances in Neural …, 2024 - proceedings.neurips.cc
The success of the Segment Anything Model (SAM) demonstrates the significance of data-
centric machine learning. However, due to the difficulties and high costs associated with …

A comprehensive survey on segment anything model for vision and beyond

C Zhang, L Liu, Y Cui, G Huang, W Lin, Y Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …

Segment anything, from space?

S Ren, F Luzi, S Lahrichi, K Kassaw… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently, the first foundation model developed specifically for image segmentation tasks
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …

A survey on segment anything model (sam): Vision foundation model meets prompt engineering

C Zhang, FD Puspitasari, S Zheng, C Li, Y Qiao… - arXiv preprint arXiv …, 2023 - arxiv.org
Segment anything model (SAM) developed by Meta AI Research has recently attracted
significant attention. Trained on a large segmentation dataset of over 1 billion masks, SAM is …

Remote sensing object detection in the deep learning era—a review

S Gui, S Song, R Qin, Y Tang - Remote Sensing, 2024 - mdpi.com
Given the large volume of remote sensing images collected daily, automatic object detection
and segmentation have been a consistent need in Earth observation (EO). However, objects …

Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges

F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper)

J Rao, S Gao, G Mai, K Janowicz - Proceedings of the 31st ACM …, 2023 - dl.acm.org
In recent years we have seen substantial advances in foundation models for artificial
intelligence, including language, vision, and multimodal models. Recent studies have …

Bridging causal discovery and large language models: A comprehensive survey of integrative approaches and future directions

G Wan, Y Wu, M Hu, Z Chu, S Li - arXiv preprint arXiv:2402.11068, 2024 - arxiv.org
Causal discovery (CD) and Large Language Models (LLMs) represent two emerging fields
of study with significant implications for artificial intelligence. Despite their distinct origins …