Beijing Baidu Netcom Science Technology Co., Ltd

General Electric Company

Beijing Baidu Netcom Science and Technology Co., Ltd.

Zhi Ye

Shuo Li

Jianying Li

Ke Wei Sun

XiaoYan Yu

Zhihui Sun

Hewei Wang

Li Ge

Guanhao Wang

Bing Dai

Yangxi Li

Xin Tang

The present disclosure provides a method of training a video tag recommendation model, a method of determining a video tag, an electronic device, and a storage medium. The video tag recommendation model includes a video feature extraction network and a tag feature extraction network. The method of training the video tag recommendation model includes: obtaining a first video feature of a video sample by using the video feature extraction network; inputting a first tag as a positive sample to the tag feature extraction network, so as to obtain a first feature of the first tag; inputting a second tag as a negative sample to the tag feature extraction network, so as to obtain a second feature of the second tag; and training the video tag recommendation model according to the first video feature, the first feature, the second feature, and a predetermined loss function.

Method of training video tag recommendation model, and method of determining video tag

The present application discloses a video type detection method, apparatus, electronic device and storage medium. A specific implementation solution is as follows: obtaining N key frames of a first video, where N is an integer greater than 1, and a type of the first video is to be detected; obtaining M confidence scores corresponding to each of the N key frames by inputting each of the N key frames into M algorithm models corresponding to the first video type respectively, where M is an integer greater than 1; determining a confidence score of the first video by a fusion strategy algorithm model according to N&#xd7;M confidence scores of the N key frames; and comparing the confidence score of the first video with a confidence score threshold corresponding to a first video type, to determine whether the type of the first video is the first video type or not.

Video type detection method and apparatus based on key frame, and storage medium

The present disclosure provides a method for detecting illegal parking. The method includes: obtaining a detection frame having a category of vehicle from an image acquired by an acquisition module through a first neural network to determine coordinate information of the detection frame; determining whether an area corresponding to the detection frame in the image is an illegal parking area through a second neural network; and when determining that the area is the illegal parking area, determining whether the coordinate information of the detection frame is changed within a preset period of time to determine whether the vehicle is parked illegally.

Method and device for detecting illegal parking, and electronic device

A method is provided for processing a dual-energy CT scan image, which includes filtering the pixels in a dual-energy CT scan image to obtain pixels to be grouped; grouping the pixels to be grouped into a plurality of pixel groups based on the positions of the pixels to be grouped in the dual-energy CT scan image; performing material decomposition on the pixels in each pixel group; and determining the object corresponding to each pixel group based on the results of material decomposition. By using the method, the scan time and the X-ray dose radiated to a target (e.g., a user to be diagnosed) are reduced.

Object identification method in dual-energy CT scan images

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Beijing, China

Zhi Ye