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 …
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 …
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 …
Recently, the first foundation model developed specifically for image segmentation tasks was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …
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 …
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 …
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
In recent years we have seen substantial advances in foundation models for artificial intelligence, including language, vision, and multimodal models. Recent studies have …
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 …