Abstract: Embodiments of this disclosure include a method and an apparatus for processing image. The method may include obtaining a to-be-processed image and performing image semantic segmentation on the to-be-processed image to obtain a semantically-segmented image. The semantically-segmented image may include a target region and a non-target region obtained through the semantic segmentation. The method may further include performing pose recognition on the to-be-processed image, to obtain a pose-recognized image recognizing skeletal region. The method may further include fusing the target region and the non-target region of the semantically-segmented image with the skeletal region of the pose-recognized image, to obtain a trimap comprising foreground region, background region, and recognition region. The method may further include generating, according to the to-be-processed image and the trimap, a transparency mask image for separating image from the to-be-processed image.

Abstract: This application relates to a method for constructing a multi-task learning model, an electronic device, and a computer-readable storage medium. The method includes: constructing a search space formed between an input node and a plurality of task nodes by arranging a plurality of subnetwork layers and a plurality of search layers in a staggered manner. A search layer in the plurality of search layers is arranged between two subnetwork layers of the plurality of subnetwork layers. The method includes sampling a path from the input node to each task node of the plurality of task nodes through the search space to obtain a candidate path as a candidate network structure; and training a parameter of the candidate network structure according to sample data, to generate the multi-task learning model for performing a multi-task prediction.

Abstract: Embodiments of this disclosure include a method and an apparatus for processing image. The method may include obtaining a to-be-processed image and performing image semantic segmentation on the to-be-processed image to obtain a semantically-segmented image. The semantically-segmented image may include a target region and a non-target region obtained through the semantic segmentation. The method may further include performing pose recognition on the to-be-processed image, to obtain a pose-recognized image recognizing skeletal region. The method may further include fusing the target region and the non-target region of the semantically-segmented image with the skeletal region of the pose-recognized image, to obtain a trimap comprising foreground region, background region, and recognition region. The method may further include generating, according to the to-be-processed image and the trimap, a transparency mask image for separating image from the to-be-processed image.

Abstract: An extended search method and apparatus is provided. An interest term model of each user is established. An extended term model of each fourth search sequence is established. A corresponding extended search term is determined based on a current search sequence of a current user and based on an interest term model of the current user as well as an extended term model of the current search sequence; and a corresponding search result is provided for the current user based on the current search sequence and the extended search term. The present invention can implement simpler and more efficient personalized searches, and is advantageous in terms of meeting long-tail requirements of users (that is, adding personalized result recalling), reducing calculation and storage costs, universality, practicability, and the like.

Abstract: A method and an apparatus for information interaction are provided. An embodiment of the method includes: obtaining to-be-processed information, the to-be-processed information comprising textual information and an image; extracting a feature word from the textual information of the to-be-processed information, and searching for descriptive information of the image within the to-be-processed information based on the feature word, the feature word being used to characterize a search request for the image, and the descriptive information being used to characterize a textual description of the image; and constructing response information to the to-be-processed information from the descriptive information. The embodiment constructs response information from the descriptive information, thereby enabling the information interaction with the to-be-processed information and improving the efficiency of information interaction.

Abstract: An extended search method and apparatus is provided. An interest term model of each user is established. An extended term model of each fourth search sequence is established. A corresponding extended search term is determined based on a current search sequence of a current user and based on an interest term model of the current user as well as an extended term model of the current search sequence; and a corresponding search result is provided for the current user based on the current search sequence and the extended search term. The present invention can implement simpler and more efficient personalized searches, and is advantageous in terms of meeting long-tail requirements of users (that is, adding personalized result recalling), reducing calculation and storage costs, universality, practicability, and the like.