Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.

Abstract: A method and device for cross-modal information retrieval, and a storage medium are provided. The method includes: acquiring first modal information and second modal information; performing feature fusion on a modal feature of the first modal information and a modal feature of the second modal information, and determining a first fused feature corresponding to the first modal information and a second fused feature corresponding to the second modal information; and determining the degree of similarity between the first modal information and the second modal information on the basis of the first fused feature and the second fused feature.

Abstract: Disclosed in embodiments of the present disclosure are an object three-dimensional detection method and apparatus, an intelligent driving control method and apparatus, a medium, and a device. The object three-dimensional detection method comprises: obtaining two-dimensional coordinates of a key point of a target object in an image to be processed; constructing a pseudo three-dimensional detection body of the target object according to the two-dimensional coordinates of the key point; obtaining depth information of the key point; and determining a three-dimensional detection body of the target object according to the depth information of the key point and the pseudo three-dimensional detection body.

Abstract: A method for cross-modal information retrieval is as follows. First modal information and second modal information are acquired. A first semantic feature of the first modal information and a first attention feature of the first modal information are determined according to a modal feature of the first modal information. A second semantic feature of the second modal information and a second attention feature of the second modal information are determined according to a modal feature of the second modal information. A similarity between the first modal information and the second modal information are determined based on the first attention feature, the second attention feature, the first semantic feature, and the second semantic feature.

Abstract: An optimized control method for a primary frequency regulation based on an exergy storage correction of a thermodynamic system of a coal-fired unit is provided. Through measuring and recording temperatures and pressures of working fluids and metal heating surfaces of the coal-fired unit thermodynamic system in real-time, an exergy storage amount of the thermodynamic system is obtained. During a transient process, according to an exergy storage variation before and after acting of each regulation scheme, a maximum power output of each scheme is obtained. Thereafter, through comparing the maximum power output with a maximum power regulation quantity required by a current frequency regulation, an optimal primary frequency regulation control scheme is selected, and a primary frequency regulation control logic is corrected, so as to be high-efficiently and accurately involved in the primary frequency regulation control and maintain a fast and stable grid frequency.

Abstract: Disclosed in embodiments of the present disclosure are an object three-dimensional detection method and apparatus, an intelligent driving control method and apparatus, a medium, and a device. The object three-dimensional detection method comprises: obtaining two-dimensional coordinates of a key point of a target object in an image to be processed; constructing a pseudo three-dimensional detection body of the target object according to the two-dimensional coordinates of the key point; obtaining depth information of the key point; and determining a three-dimensional detection body of the target object according to the depth information of the key point and the pseudo three-dimensional detection body.

Abstract: A vehicle lamp detection method includes: obtaining an image block including an image of a vehicle; and performing vehicle lamp detection on the image block by means of a deep neural network, to obtain a vehicle lamp detection result.

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: Methods, apparatuses and electronic devices for identifying an object category include: determining M key point neighborhood regions from corresponding object candidate boxes according to position information of M key points in a plurality of object candidate boxes of an image to be detected, where M is less than or equal to the total number of key points of N preset object categories, and M and N are positive integers; and determining category information of at least one object in the image to be detected using a convolutional neural network model used for identifying an object category in the image according to the M key point neighborhood regions.

Abstract: A flexible coal-fired power generation system includes a thermal system for coal-fired power generating unit and a high-temperature heat storage system connected in parallel, wherein: the heat storage system includes a heat storage medium pump (17), a cold heat storage medium tank (18), a hot heat storage medium tank (20), multiple valves, and a heat storage medium and feedwater heat exchanger (21). A heat storage medium heater (16) locates in the boiler (1) and is connected with both the cold heat storage medium tank (18) and the hot heat storage medium tank (20). Through the heat storage medium pump (17), the flow of heat storage medium that enters the heat storage medium heater (16) is adjusted to reduce the output of the steam turbine when the boiler (1) is stably burning.

Abstract: An all-condition auxiliary denitration system and an operation method thereof are provided. The system includes a heat-storage medium heater, a low-temperature reheater, an economizer, and an SCR denitration device which are successively interconnected, and further including a heat-storage medium tank and a heat-storage medium and feedwater heat exchanger. A flow of a cold heat-storage medium entering the heat-storage medium heater is regulated, so that heat absorption of the heat-storage medium is matched with a boiler load. Flows of hot heat-storage medium and feedwater, which enter the heat-storage medium and feedwater heat exchanger, are regulated through a feedwater regulating valve and a hot heat-storage medium outlet regulating valve. A total feedwater flow is regulated with assistance of a bypass feedwater regulating valve, so that a temperature of flue gas entering the SCR denitration device is kept in an optimal operation range under different boiler loads, and denitration efficiency is ensured.

Abstract: A pedestrian recognition method and device. The method comprises: acquiring image features of a target pedestrian image, the image features comprising facial features and body features (S101); acquiring from a feature database at least one target node of the image features, and using a pedestrian image that corresponds to the at least one target node as an image of a target pedestrian (S103); the feature database comprises multiple pedestrian feature nodes, and the pedestrian feature nodes comprise facial features and body features which correspond to a pedestrian image, as well as relationship features between other pedestrian feature nodes. The described method enables the amount of computation for pedestrian searching to be greatly reduced, which improves searching efficiency.

Abstract: The present invention provides a camera optical lens including, from an object side to an image side, a first lens having a positive refractive power, a second lens having a negative refractive power, a third lens, a fourth lens having a positive refractive power, a fifth lens having a negative refractive power, a sixth lens having a negative refractive power, a seventh lens having a positive refractive power and a eighth lens having a negative refractive power. The camera optical lens satisfies the following conditions: 0.65?f1/f?0.85, 2.00?f4/f?5.00, and ?5.50?f5/f??2.50; where f, f1, f4 and f5 respectively denote a focal length of the camera optical lens, the first lens, the fourth lens and the fifth lens. The camera optical lens in the present disclosure has characteristics of large aperture, wide angle and ultra-thinness while having good optical functions.

Abstract: The present invention provides a camera optical lens including, from an object side to an image side, a first lens, a second lens, a third lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens and a eighth lens. The first, third, fifth and seventh lens have positive refractive power, while the second, fourth, sixth and eighth lens have negative refractive power. The camera optical lens satisfies the following conditions: 0.70?f1/f?1.00; ?20.00?f4/f?3.50; and 2.30?f5/f?4.50; where f denotes a focal length of the camera optical lens, and f1, f4 and f5 respectively denote a focal length of the first lens, the fourth lens and the fifth lens. The camera optical lens in the present disclosure satisfies a design requirement of large aperture, wide angle and ultra-thinness while having good optical functions.

Abstract: A flexible coal-fired power generation system includes a thermal system for coal-fired power generating unit and a high-temperature heat storage system connected in parallel, wherein: the heat storage system includes a heat storage medium pump (17), a cold heat storage medium tank (18), a hot heat storage medium tank (20), multiple valves, and a heat storage medium and feedwater heat exchanger (21). A heat storage medium heater (16) locates in the boiler (1) and is connected with both the cold heat storage medium tank (18) and the hot heat storage medium tank (20). Through the heat storage medium pump (17), the flow of heat storage medium that enters the heat storage medium heater (16) is adjusted to reduce the output of the steam turbine when the boiler (1) is stably burning.

Abstract: An all-condition auxiliary denitration system and an operation method. thereof are provided. The system includes a heat-storage medium heater, a low-temperature reheater, an economizer, and an SCR denitration device which are successively interconnected, and further including a heat-storage medium tank and a heat-storage medium and feedwater heat exchanger. A flow of a cold heat-storage medium entering the heat-storage medium heater is regulated, so that heat absorption of the heat-storage medium is matched with a boiler load. Flows of hot heat-storage medium and feedwater, which enter the heat-storage medium and feedwater heat exchanger, are regulated through a feedwater regulating valve and a hot heat-storage medium outlet regulating valve. A total feedwater flow is regulated with assistance of a bypass feedwater regulating valve, so that a temperature of flue gas entering the SCR denitration device is kept in an optimal operation range under different boiler loads, and denitration efficiency is ensured.

Abstract: Methods, apparatuses, devices, program products, and media can improve the accuracy rate of searching for a target person. The method includes: obtaining an image of the target person; searching a face image library by using the image of the target person to obtain a first face image template matching the image of the target person, where the face image library includes a plurality of face image templates; and obtaining, according to the first face image template and a pedestrian image library, at least one target pedestrian image template matching the image of the target person, where the pedestrian image library includes a plurality of pedestrian image templates.

Abstract: A lens module and an imaging system include a lens barrel and a plurality of lenses contained in the lens barrel. The plurality of lenses are sequentially arranged at intervals along an optical axis direction of the lens barrel, at least one of the plurality of lenses is a glass lens, and at least one layer of invisible light cutoff film on either of the object side surface and the image side surface of the glass lens. The imaging system may directly block the invisible light such as infrared light out of the imaging area through the glass lens without requiring an additional filter in front of the electronic image sensor. In this way, the length of the imaging system and the height of the lens module are reduced, and the number of optical surfaces between the lens module and the electronic image sensor is reduced.

Abstract: A method and an apparatus for detecting an object keypoint, an electronic device, a computer readable storage medium, and a computer program include: obtaining a respective feature map of at least one local regional proposal box of an image to be detected, the at least one local regional proposal box corresponding to at least one target object; and separately performing target object keypoint detection on a corresponding local regional proposal box of the image to be detected according to the feature map of the at least one local regional proposal box.

Abstract: An identity authentication method and apparatus, and a storage medium are provided. The identity authentication method includes: performing, by means of a first neural network, face detection on an image to be processed to obtain a face detection result, and performing, by means of a second neural network, document detection on the image to be processed to obtain a document detection result; determining whether the image to be processed is a valid identity authentication image according to the face detection result and the document detection result; and in response to determining that the image to be processed is a valid identity authentication image, performing identity authentication according to the face detection result and the document detection result to obtain an identity authentication result of the image to be processed.