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abhijit1247 OP t1_izoxgnp wrote

I understand that, but these are state of the art face detection models (as per papers with codes), one would assume that they would have taken care of these kinds of false positives. This has been a common issue across many face detection models and I hoped that someone could suggest a model that has been trained against it. Fine-tuning the detector would be my last resort.

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deepneuralnetwork t1_izoylbj wrote

I wouldn’t assume anything with SOTA models. “State of the art” is far less impressive in the AI world than it might sound.

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