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Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding
Single-image super-resolution (SR) and multi-frame SR are two ways to super resolve low-resolution images.
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
"Feint Attack" is simulated by the real attack inserted in the normal causal attack chain, and the addition of the real attack destroys the causal relationship of the original attack chain.
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
In addition, we propose Gradient Band-based Adversarial Training, which trained with a single randomly choose dominant adversarial example without taking any modification, to realize the "1:N" attack immunity for generalized dominant adversarial examples.
Cross-Modal Similarity Learning : A Low Rank Bilinear Formulation
A new approach to the problem has been raised which intends to match features of different modalities directly.
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