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Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

Abstract: The increasing popularity of generative AI has led to a significant rise in deepfake content, creating an urgent need for generalized and reliable deepfake detection methods. Since existing ...