Abstract: An expression recognition method and apparatus are provided. The method includes: acquiring a to-be-recognized image; obtaining an image feature map of the to-be-recognized image according to the to-be-recognized image; determining global feature information and local feature information according to the image feature map; and determining an expression type of the to-be-recognized image according to the global feature information and the local feature information. Since the global feature information of the to-be-recognized image reflects overall information of a face and the local feature information of the to-be-recognized image reflects detail information of each region on the face, more image detail information of a facial expression can be recovered by means of an effective combination of the local feature information and the global feature information.

Abstract: The provided are a face pose estimation method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a target image containing face information, and inputting the target image into a pre-constructed pose estimation model; performing feature extraction on the target image by using a shallow densely connected layer to obtain a plurality of first feature maps containing shallow feature information; performing an information fusion operation on the plurality of first feature maps by using a deep feature multiplexing layer to obtain a second feature map, such that deep feature information is fused into the shallow feature information; and extracting face pose information in the second feature map by using an attention layer to obtain a third feature map containing the face pose information, performing prediction on the third feature map by using a classifier, and determining a face pose in the target image.

Abstract: A pedestrian matching method includes: acquiring a first image and a second image; respectively extracting features of the first image and the second image to obtain a first local feature, a second local feature, a first high-order feature and a second high-order feature, the first local feature and the second local feature including local feature vectors corresponding to key points of a human body respectively; performing feature alignment on the first local feature and the second local feature to obtain a first fused feature and a second fused feature; performing feature alignment on the first high-order feature and the second high-order feature to obtain a first high-order fused feature and a second high-order fused feature; and determining, based on the first fused feature, the second fused feature, the first high-order fused feature and the second high-order fused feature, whether the first image and the second image include a same pedestrian.

Abstract: The embodiments of the present application provide a processing unit. The processing unit comprises: an instruction fetching unit configured for fusing instruction of vector configuration instruction and vector operation instruction that are adjacent in order to obtain fusion instruction; an instruction decoding unit configured to decode the fusion instruction to obtain first execution information and second execution information; a vector configuration unit configured to execute the vector configuration instruction according to the first execution information, modify vector control register, and bypass the value of the modified vector control register to the vector operation unit; the vector operation unit configured to execute the vector operation instruction according to the second execution information and the value of the modified vector control register.

Abstract: The embodiments of the present application provide a processing unit. The processing unit comprises: an instruction fetching unit configured for fusing instruction of vector configuration instruction and vector operation instruction that are adjacent in order to obtain fusion instruction; an instruction decoding unit configured to decode the fusion instruction to obtain first execution information and second execution information; a vector configuration unit configured to execute the vector configuration instruction according to the first execution information, modify vector control register, and bypass the value of the modified vector control register to the vector operation unit; the vector operation unit configured to execute the vector operation instruction according to the second execution information and the value of the modified vector control register.

Abstract: The present disclosure provides a continuous zoom stereoscopic microscope with an adjustable stereoscopic angle, consisting of a microscope stand, a first eyepiece module, a second eyepiece module, a first objective module, a second objective module, a first Risley prism, a second Risley prism, a first image-rotating prism, a second image-rotating prism, a drive module, a control module and an illumination module. The drive module provides preset drive values for individual liquid lenses in the liquid lens sets according to different magnifications to change the focal lengths of the liquid lenses, thereby changing the effective focal lengths of the objective module and that of the eyepiece module, and finally achieving continuous and fast zooming of the stereoscopic microscope to be adapted to different working scenarios.