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Controllable guide-space for generalizable face forgery detection
Y Guo, C Zhen, P Yan - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Recent studies on face forgery detection have shown satisfactory performance for methods
involved in training datasets, but are not ideal enough for unknown domains. This motivates …
involved in training datasets, but are not ideal enough for unknown domains. This motivates …
Clip-cluster: Clip-guided attribute hallucination for face clustering
One of the most important yet rarely studied challenges for supervised face clustering is the
large intra-class variance caused by different face attributes such as age, pose, and …
large intra-class variance caused by different face attributes such as age, pose, and …
Local connectivity-based density estimation for face clustering
Recent graph-based face clustering methods predict the connectivity of enormous edges,
including false positive edges that link nodes with different classes. However, those false …
including false positive edges that link nodes with different classes. However, those false …
Face clustering via graph convolutional networks with confidence edges
Face clustering is a method for unlabeled image annotation and has attracted increasing
attention. Existing methods have made significant breakthroughs by introducing Graph …
attention. Existing methods have made significant breakthroughs by introducing Graph …
Fairness in visual clustering: A novel transformer clustering approach
XB Nguyen, CN Duong, M Savvides, K Roy… - ar** and Edge Recall
J Liu - arxiv preprint arxiv:2408.13431, 2024 - arxiv.org
Large-scale face clustering has achieved significant progress, with many efforts dedicated to
learning to cluster large-scale faces with supervised-learning. However, complex model …
learning to cluster large-scale faces with supervised-learning. However, complex model …