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Found 4 papers, 1 papers with code
Diff-Oracle: Diffusion Model for Oracle Character Generation with Controllable Styles and Contents
To train Diff-Oracle effectively, we propose to obtain pixel-level paired oracle character images (i. e., style and content images) by a pre-trained image-to-image translation model.
A Symbolic Character-Aware Model for Solving Geometry Problems
For the diagram encoder, we pre-train it under a multi-label classification framework with the symbolic characters as labels.
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection
We then design a novel patch-wise residual module in the anomaly learning head to extract and assess the fine-grained anomaly features from each sample, facilitating the learning of discriminative representations of anomaly instances.
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
In this paper, we present a comprehensive survey trying to offer a systematic and structured investigation on robust adversarial training in pattern recognition.
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