Paper trains Vision Transformers to specialize spatial attention heads
Two annotation-free focusing losses steer multi-head attention toward distinct image regions for denser predictions.
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Two annotation-free focusing losses steer multi-head attention toward distinct image regions for denser predictions.
SemanTok aligns video tokens with frozen DINO features so short prefixes carry clip semantics.
UCF-Net fuses CLIP and DINO features with entropy-based uncertainty weighting to improve generalizable deepfake image detection across generators.
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