2024
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
ECCV 2024poster
"Masked Image Modeling (MIM) has emerged as a promising method for deriving visual representations from unlabeled image data by predicting missing pixels from masked portions of images. It excels in region-aware learning and provides strong initializations for various tasks, but struggles to capture…