Salient Object Detection in Images via Saliency

摘要

An input image, which may include a salient object, is received by a salient object detection and localization system. The system may be trained to detect whether the input image includes a salient object. If the system fails to detect a salient object in the input image, the system may provide the sender of the input with a null result or an indication that the input image does not contain a salient object. If the system detects a salient object in the input image, the system may localize the salient object within the input image. The system may generate an output image based at least in part on the localization of the salient object. The system may provide the sender of the input image with information pertaining to the detected salient object.

主权项

1. A method implemented at least partially by a processor, the method comprising:
receiving an input image; generating a saliency map of the input image; generating at least one feature vector based at least in part on the saliency map; detecting whether the input image has or does not have a salient object based at least on a learned salient object detection model; and responsive to detecting that the input image has a salient object, localizing the detected salient object in the input image based at least in part on a learned localization model.