Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Institute of Technology

Zeyu Chen

Dianhai Yu

Yanjun Ma

Haifeng Wang

Lei Shi

Yi Liu

Tian Wu

Xiaoguang Hu

Di Jiang

Baohua Lai

Hongwen He

Rui Xiong

Fengchun Sun

Zewu Wu

Zhiliang Yu

Xueying Lv

Jiajun Jiang

Rongzhong Lian

Yuying Hao

The present disclosure provides an image processing method and apparatus, and relates to the field of image processing, and in particular to the field of image annotation. An implementation is: obtaining an image to be processed including a target region to be annotated; in response to a first click on the target region, performing a first operation to expand a predicted region for the target region based on a click position of the first click; in response to a second click in a position where the predicted region exceeds the target region, performing a second operation to reduce the predicted region based on a click position of the second click; and in response to determining that a difference between the predicted region and the target region meets a preset condition, obtaining an outline of the predicted region to annotate the target region.

Image processing

Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.

Text processing method, device and storage medium

The present invention relates to a rapid low-temperature self-heating method and device for a battery. Active controllable large-current lossless short-circuit self-heating cooperates with an external heater to implement rapid composite heating, so that a battery is rapidly heated in a low-temperature environment and is controlled to fall within an optimal working temperature interval, so as to improve energy utilization of the battery and durability of a battery system. Before the battery system is started, battery temperature is first determined; when the temperature is less than a threshold, an external short-circuit is first proactively triggered to generate a large current to implement self-heating inside the battery. The method is simple, easy to implement, and safe and reliable, and can effectively resolve a problem that an electric vehicle has large capacity degradation and poor working performance in a low-temperature severe cold working condition.

Rapid low-temperature self-heating method and device for battery

A method and an apparatus for recalling a search result based on a neural network are provided, the method comprising: receiving a query and collecting a plurality of search results corresponding to the query; acquiring a first feature vector corresponding to the query, and acquiring second feature vectors corresponding to titles of the plurality of search results respectively; acquiring similarities between the first feature vector and the second feature vectors respectively, and acquiring semantic matching scores between the query and the plurality of search results respectively according to the similarities; and determining at least one target search result from the plurality of search results according to the semantic marching scores, wherein the at least one target search result is regarded as the search result recalled according to the query.

Method and apparatus for recalling search result based on neural network

Growing community of inventors

Beijing, China

Zeyu Chen