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deep-learningface-detectionface-recognition

What does initialization for regressor?

I'm a noob CV & deep-learning student

I've just started to read a Paper which is about better face detection tech

I'll bring a whole paragraph which I want to ask

we propose Improved Anchor Matching (IAM), which integrates anchor partition strategy and anchor-based data augmentation to better match anchors and ground truth faces, and thus provides better initialization for the regressor.

I roughly understands other sentences but I can't understand initialization for the regressor.

I've googled about that sentence but the only result is for initialization for regression or just regressor.

What does that means? TT

Solution

  • My guess is that regressor is either a fully connected layer or a convolutional layer of the deep learning network layer. So mostly they are talking about the initialization of such layer.

    Hope this will of your help.