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Found 2 papers, 1 papers with code
VDD: Varied Drone Dataset for Semantic Segmentation
We expect that our dataset will generate considerable interest in drone image segmentation and serve as a foundation for other drone vision tasks.
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
Based on that, we build upon the CLIP model as a backbone which we extend with a One-Way [CLS] token navigation from text to the visual branch that enables zero-shot dense prediction, dubbed \textbf{ClsCLIP}.
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