IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation

Researchers have introduced Intrinsic Mixture of Spectral Experts (IMSE), a method for test-time adaptation that fine-tunes large pretrained models with minimal parameter updates by adapting singular values in Vision Transformers. This technique addresses the issue of feature collapse and enhances model performance across distribution shifts, offering significant accuracy improvements while using far fewer parameters than traditional methods.

Read the full article at arXiv cs.CV (Vision)

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