Tool learning with foundation models

Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui… - ACM Computing …, 2024 - dl.acm.org
Humans possess an extraordinary ability to create and utilize tools. With the advent of
foundation models, artificial intelligence systems have the potential to be equally adept in …

Transfer learning in environmental remote sensing

Y Ma, S Chen, S Ermon, DB Lobell - Remote Sensing of Environment, 2024 - Elsevier
Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

Segment anything in medical images

J Ma, Y He, F Li, L Han, C You, B Wang - Nature Communications, 2024 - nature.com
Medical image segmentation is a critical component in clinical practice, facilitating accurate
diagnosis, treatment planning, and disease monitoring. However, existing methods, often …

Sam 2: Segment anything in images and videos

N Ravi, V Gabeur, YT Hu, R Hu, C Ryali, T Ma… - ar**
C He, K Li, Y Zhang, G Xu, L Tang… - Advances in …, 2023 - proceedings.neurips.cc
Abstract Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment
objects well blended with surrounding environments using sparsely-annotated data for …