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  1. No Access

    Chapter and Conference Paper

    Revisiting TENT for Test-Time Adaption Semantic Segmentation and Classification Head Adjustment

    Test-time adaption is very effective at solving the domain shift problem where the training data and testing data are sampled from different domains. However, most test-time adaption methods made their success...

    Xuanpu Zhao, Qi Chu, Changtao Miao, Bin Liu, Nenghai Yu in Image and Graphics (2023)

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    Chapter and Conference Paper

    UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection

    Intra-frame inconsistency has been proved to be effective for the generalization of face forgery detection. However, learning to focus on these inconsistency requires extra pixel-level forged location annotati...

    Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan… in Computer Vision – ECCV 2022 (2022)