Search Results for author:
Found 2 papers, 1 papers with code
Few-shot Adaptation of Multi-modal Foundation Models: A Survey
Therefore, in this survey, we introduce and analyze the research advancements in few-shot adaptation methods for multi-modal models, summarizing commonly used datasets and experimental setups, and comparing the results of different methods.
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
However, these models primarily learn low-level features and require annotated data for fine-tuning.
Ranked #2 on
Cross-Modal Retrieval
on RSITMD
(using extra training data)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
