A single-encoder, two-decoder model that jointly predicts pixels, latent features, and a [CLS] token outperforms pixel-only and latent-only masked image modeling on most high-level and low-level vision benchmarks.
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PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling
A single-encoder, two-decoder model that jointly predicts pixels, latent features, and a [CLS] token outperforms pixel-only and latent-only masked image modeling on most high-level and low-level vision benchmarks.