TO-SDG lets a text description of the target domain, encoded by CLIP, guide single-source training through feature re-centering, spectral projection, distillation, and mixup, improving classification and detection generalization.
Learning transferable visual models from natural language supervi- sion,
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Target-Oriented Single Domain Generalization
TO-SDG lets a text description of the target domain, encoded by CLIP, guide single-source training through feature re-centering, spectral projection, distillation, and mixup, improving classification and detection generalization.