MaskAdapt combines depth-gradient-guided cross-attention with geometry-aware multimodal masking to improve unsupervised domain adaptation for crop and weed segmentation.
A comparative study of fourier trans- form and cyclegan as domain adaptation techniques for weed segmentation - code and data, 2023
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MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking
MaskAdapt combines depth-gradient-guided cross-attention with geometry-aware multimodal masking to improve unsupervised domain adaptation for crop and weed segmentation.