Abstract: A bi-directional interaction network (BINet)-based person search method, system, and apparatus are provided. The method includes: obtaining, as an input image, a tth frame of image in an input video; and normalizing the input image, and obtaining a search result of a to-be-searched target person by using a pre-trained person search model, where the person search model is constructed based on a residual network, and a new classification layer is added to a classification and regression layer of the residual network to obtain an identity classification probability of the target person. The method improves the accuracy of the person search.

Abstract: A weakly supervised image semantic segmentation method based on an intra-class discriminator includes: constructing two levels of intra-class discriminators for each image-level class to determine whether pixels belonging to the image class belong to a target foreground or a background, and using weakly supervised data for training; generating a pixel-level image class label based on the two levels of intra-class discriminators, and generating and outputting a semantic segmentation result; and further training an image semantic segmentation module or network by using the label to obtain a final semantic segmentation model for an unlabeled input image. By means of the new method, intra-class image information implied in a feature code is fully mined, foreground and background pixels are accurately distinguished, and performance of a weakly supervised semantic segmentation model is significantly improved under the condition of only relying on an image-level annotation.

Abstract: A weakly supervised image semantic segmentation method based on an intra-class discriminator includes: constructing two levels of intra-class discriminators for each image-level class to determine whether pixels belonging to the image class belong to a target foreground or a background, and using weakly supervised data for training; generating a pixel-level image class label based on the two levels of intra-class discriminators, and generating and outputting a semantic segmentation result; and further training an image semantic segmentation module or network by using the label to obtain a final semantic segmentation model for an unlabeled input image. By means of the new method, intra-class image information implied in a feature code is fully mined, foreground and background pixels are accurately distinguished, and performance of a weakly supervised semantic segmentation model is significantly improved under the condition of only relying on an image-level annotation.

Abstract: A bi-directional interaction network (BINet)-based person search method, system, and apparatus are provided. The method includes: obtaining, as an input image, a tth frame of image in an input video; and normalizing the input image, and obtaining a search result of a to-be-searched target person by using a pre-trained person search model, where the person search model is constructed based on a residual network, and a new classification layer is added to a classification and regression layer of the residual network to obtain an identity classification probability of the target person. The method improves the accuracy of the person search.

Abstract: A laser annealing device and methods for annealing using the device are disclosed. The laser annealing device includes: a laser light source system (3); a laser adjusting system (4) that is connected to the laser light source system and is disposed above a wafer (1); a temperature monitoring system (5) that is disposed above the wafer (1) and configured to measure in real time a temperature at a location of the surface of the wafer at which a light spot is formed; and a central control system (6) in connection with each of the laser light source system, the laser adjusting system, the temperature monitoring system and a wafer table (2). The wafer is jointly annealed by laser beams from several independent lasers (31) in the laser light source system, which have different wavelengths and cooperate in a mutually complementary manner, with a selected optimum set of process parameters. As a result, an optimum annealing temperature can be achieved and surface pattern effects can be effectively reduced.

Abstract: A laser annealing apparatus for annealing a silicon wafer placed on a wafer stage is disclosed which includes: a laser light source for generating a light beam; a first optical unit, configured to convert the light beam generated by the laser light source into a polarized light beam of a first type; and a second optical unit, including a light guiding element and a first reflecting element. The light guiding element is configured to make the polarized light beam of the first type incident on and reflected by a surface of the silicon wafer for a first time along a first optical path, and the light beam reflected from the surface of the silicon wafer is further reflected by the first reflecting element and is thereby incident on the surface of the silicon wafer for a second time along a second optical path symmetrical to the first optical path and reflected by the surface to the light guiding element.

Abstract: Disclosed is a method for preparing 1-octene in the presence of a catalyst system for ethylene oligomerization, which includes: premixing a part of ethylene gas as raw material with a solvent, mixing with the components a+b, c and d of the catalyst system, and then sending in a reactor; directly sending the rest of ethylene gas in the reactor; discharging the resultant liquid from the upper part of the reactor into an overflow channel; adding a catalysis stopping agent to the overflow channel; and then separating the resultant liquid. The advantages of the method are high selectivity of 1-octene and high catalytic activity.