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Found 3 papers, 2 papers with code
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
This approach limits the generation of segmentation masks derived from word tokens not contained in the text prompt.
The Robust Semantic Segmentation UNCV2023 Challenge Results
This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023.
Soft labelling for semantic segmentation: Bringing coherence to label down-sampling
To that aim, we propose a novel framework for label down-sampling via soft-labeling that better conserves label information after down-sampling.
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