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AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning
As a self-supervised learning paradigm, contrastive learning has been widely used to pre-train a powerful encoder as an effective feature extractor for various downstream tasks.
Robust Degraded Face Recognition Using Enhanced Local Frequency Descriptor and Multi-scale Competition
Recognizing degraded faces from low resolution and blurred images are common yet challenging task.
Demosaicing and Superresolution for Color Filter Array via Residual Image Reconstruction and Sparse Representation
Using the adaptive dictionary, the sparse coefficients of intermediate data are computed and transformed to predict residual image.
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