Abstract: Pose variation in unconstrained settings challenges face recognition, especially for side-view poses, which are affected by asymmetry, self-occlusion, and limited facial features. While deep ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...
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