(2026). RD-ViT: Recurrent-Depth Vision Transformer for Semantic Segmentation with Reduced Data Dependence Extending the Recurrent-Depth Transformer Architecture to Dense Prediction. ArXiv cs.CV Recent Papers.
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Chicago Style (17th ed.) Citation
"RD-ViT: Recurrent-Depth Vision Transformer for Semantic Segmentation with Reduced Data Dependence Extending the Recurrent-Depth Transformer Architecture to Dense Prediction."
ArXiv Cs.CV Recent Papers 2026.
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MLA (9th ed.) Citation
"RD-ViT: Recurrent-Depth Vision Transformer for Semantic Segmentation with Reduced Data Dependence Extending the Recurrent-Depth Transformer Architecture to Dense Prediction."
ArXiv Cs.CV Recent Papers, 2026.
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Warning: These citations may not always be 100% accurate.