A new benchmark and fine-tuned models show that multi-task training improves average perceptual-similarity accuracy on known tasks but does not generalize to out-of-distribution perceptual tasks.
Emerg- ing properties in self-supervised vision transformers
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Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics
A new benchmark and fine-tuned models show that multi-task training improves average perceptual-similarity accuracy on known tasks but does not generalize to out-of-distribution perceptual tasks.