1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification
Shijian Wang, Linxin Song, Ryotaro Shimizu +2
Zero-shot domain-specific image classification is challenging in classifying real images without ground-truth in-domain training examples. Recent research involved knowledge from t…
cs.CV2025★ 1 cited
Vision and Language Reference Prompt into SAM for Few-shot Segmentation
Kosuke Sakurai, Ryotaro Shimizu, Masayuki Goto
Segment Anything Model (SAM) represents a large-scale segmentation model that enables powerful zero-shot capabilities with flexible prompts. While SAM can segment any object in zer…