AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Abstract: Remote sensing image change detection (RSICD) is a crucial technique for Earth observation. However, the mainstream RSICD methods still face two main challenges. First, the encoding stage ...
Abstract: Connectionist temporal classification (CTC) is one of the predominant schemes for end-to-end speech recognition because of its simplicity, efficiency and reliability. However, as a sequence ...
Motivation: Scene text editing is a challenging task that aims to modify or add text in images while maintaining the fidelity of newly generated text and visual coherence with the background. The main ...
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New model uses persistent homology to analyze topological features in data and extract inhomogeneous structural features from the domain images. Entropy-extended free energy landscape reveals ...