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Found 2 papers, 1 papers with code
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection
Then, the patch aggregation blocks are used to generate multi-scale representation with four hierarchies, each of them is followed by a series of DefT blocks, which respectively include a locally position-aware block for local position encoding, a lightweight multi-pooling self-attention to model multi-scale global contextual relationships with good computational efficiency, and a convolutional feed-forward network for feature transformation and further location information learning.
Noise and Edge Based Dual Branch Image Manipulation Detection
In this paper, the noise image extracted by the improved constrained convolution is used as the input of the model instead of the original image to obtain more subtle traces of manipulation.
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