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Found 7 papers, 2 papers with code
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionar
Subsequently, an extreme UWI compression network with reference to the feature dictionary (RFD-ECNet) is creatively proposed, which utilizes feature match and reference feature variant to significantly remove redundancy among UWIs.
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary
Subsequently, an extreme UWI compression network with reference to the feature dictionary (RFD-ECNet) is creatively proposed, which utilizes feature match and reference feature variant to significantly remove redundancy among UWIs.
Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding
In this paper, we propose a novel LS method to modify a given text by pivoting it between two different languages and embed secret data by applying a GLS-like information encoding strategy.
Universal adversarial perturbation for remote sensing images
Firstly, the former is used to generate the UAP, which can learn the distribution of perturbations better, and then the latter is used to find the sensitive regions concerned by the RSI classification model.
Exploiting Language Model for Efficient Linguistic Steganalysis
Such kind of difference can be naturally captured by the language model used for generating stego texts.
Orientation Convolutional Networks for Image Recognition
With the propogation of the low-rank structure, the corresponding sparsity for representation of original Gabor filter bank can be significantly promoted.
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks
In this paper, we propose a novel quadratic optimized model based on the deep convolutional neural network (QODCNN) for full-reference and no-reference screen content image (SCI) quality assessment.
