Autoencoder reconstruction losses on vision encoder representations correlate strongly with human image memorability and outperform earlier CNN-based predictors.
Siglip 2: Multilingual vision- language encoders with improved semantic understanding, localization, and dense features, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Correlates of Image Memorability in Vision Encoders: Activations, Attention Entropy, Patch Uniformity and Autoencoder Losses
Autoencoder reconstruction losses on vision encoder representations correlate strongly with human image memorability and outperform earlier CNN-based predictors.