Kunlun Zeng

MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization

Deep learning-based models have made great progress in image tampering localization, which aims to distinguish between manipulated and authentic regions. However, these models suffer from inefficient training. This is because they use ground-truth mask labels mainly through the cross-entropy loss, w…