Training method for image processing network, and image processing method and apparatus

A device for training an image processing network, comprising a memory and a processor, wherein the memory is stored with a computer program executable on the processor, and the processor is configured to execute the computer program to:

• determine a reference pixel based on a training image annotated with a truth value;
• determine, with the reference pixel as a starting point and based on a Markov chain of the training image, cropping probabilities of the image processing network processing the training image;
• and
• adjust, based on an output result obtained by the image processing network processing a training cropped area and based on the truth value, a network parameter value and the cropping probabilities of the image processing network to obtain a trained image processing network, wherein the training cropped area is obtained by cropping the training image based on the cropping probabilities.

A non-transitory computer-readable storage medium having stored thereon a computer program that, when executed by a processor, causes the processor to implement a method for training an image processing network, the method comprising:

• determining a reference pixel based on a training image annotated with a truth value;
• determining, with the reference pixel as a starting point and based on a Markov chain of the training image, cropping probabilities of the image processing network processing the training image;
• and
• adjusting, based on an output result obtained by the image processing network processing a training cropped area and based on the truth value, a network parameter value and the cropping probabilities of the image processing network to obtain a trained image processing network, wherein the training cropped area is obtained by cropping the training image based on the cropping probabilities.