(57) ABSTRACT A method for re-identification of a subject in an image by pre-training a
convolutional neural network to recognize individuals within a closed set of possible …

An apparatus may be configured to obtain, for a Siamese neural network having a recurrent
neural network (RNN), an initial representation associated with a target object at a first time …

(57) ABSTRACT A target detection method a is provided, which relates to the fields of deep
learning, computer vision, and artificial intel ligence. The method comprises: classifying, by …

2023-06-02 Assigned to INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD.
reassignment INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD. ASSIGNMENT …

(57) ABSTRACT A computer-vision method includes recognizing a feature representation of
a query image depicting an unknown subject. A similarity score is computed between the …

BACKGROUND OF THE DISCLOSURE for testing;(II) the auto-labeling device performing a
pro cess of inputting the test image and the first object region Recently, researches has been …

Computer vision systems and methods for object detection with reinforcement learning are
provided. The system includes a reinforcement learning agent configured to detect an object …

In some aspects, a method for object re-identification may include obtaining a first set of
images from a first camera, and a second set of images from at least one second camera; …

A semi-supervised model incorporates deep feature learning and pseudo label estimation
into a unified framework. The deep feature learning can include multiple convolutional …

Pattern Recognition (ICPR). IEEE, 2021.(Year: 2021)* Zhang, Dingwen, et al.“From
discriminant to complete: Reinforcement searching-agent learning for weakly supervised …