Abstract: A method and device for object detection, and a non-transitory computer readable storage medium are provided. The method includes the following. Object detection is performed on images of at least one second domain with a neural network to obtain detection results, where the neural network is trained with a first image sample set for a first domain. For at least one image among the images of the at least one second domain of which the detection result has a confidence level that is lower than a first threshold, the at least one image is assigned as an image sample in at least one second image sample set. At least one image sample is selected from the first image sample set and at least one image sample is selected from each of the at least one second image sample set.

Abstract: A method and apparatus for multi-level target classification, a method and apparatus for traffic sign detection, an electronic device, and a computer storage medium are provided. The method for multi-level target classification includes: obtaining at least one candidate region feature corresponding to at least one target in an image, where the image includes at least one target, and each of the targets corresponds to one candidate region feature; obtaining at least one first probability vector corresponding to at least two classes based on the at least one candidate region feature, and classifying each of the at least two classes to respectively obtain at least one second probability vector corresponding to at least two sub-classes in the class; and determining a classification probability that the target belongs to the sub-class based on the first probability vector and the second probability vector.

Abstract: Embodiments of the present disclosure disclose a traffic light detection method and apparatus, an intelligent driving method and apparatus, a vehicle, and an electronic device. The traffic light detection method includes: obtaining a video stream including a traffic light; determining a candidate region of the traffic light in at least one frame of image of the video stream; and determining at least two attributes of the traffic light in the image based on the candidate region.