Search Results for author:
Found 2 papers, 1 papers with code
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
Therefore, we focus on generating prompts with more accurate localization and classification and propose \textbf{APSeg}, \textbf{A}uto-\textbf{P}rompt model with acquired and injected knowledge for nuclear instance \textbf{Seg}mentation and classification.
PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images
The PGCS method involves two key phases: spatial synthesis and spectral synthesis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
