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Found 4 papers, 0 papers with code
Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering
To address the above issues, we propose a hashing algorithm based on auto-encoders for multi-view binary clustering, which dynamically learns affinity graphs with low-rank constraints and adopts collaboratively learning between auto-encoders and affinity graphs to learn a unified binary code, called Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering (GCAE).
Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images
Different from most of previous underwater image enhancement methods that compute light attenuation along object-camera path through hazy image formation model, we propose a novel jointly wavelength compensation and dehazing network (JWCDN) that takes into account the wavelength attenuation along surface-object path and the scattering along object-camera path simultaneously.
Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing
Highly-directional image artifacts such as ion mill curtaining, mechanical scratches, or image striping from beam instability degrade the interpretability of micrographs.
Guiding Intelligent Surveillance System by learning-by-synthesis gaze estimation
In an attempt to address this issue, previous method is to improve the realism of synthetic images by learning a model.
