Abstract: This disclosure describes systems and methods for training a neural network with a training data set including data items labeled at different granularities. During training, each item within the training data set can be fed through the neural network. For items with labels of a higher granularity, weights of the network can be adjusted based on a comparison between the output of the network and the label of the item. For items with labels of a lower granularity, an output of the network can be fed through a conversion function that convers the output from the higher granularity to the lower granularity. The weights of the network can then be adjusted based on a comparison between the converted output and the label of the item.

Abstract: This disclosure describes systems and methods for training a neural network with a training data set including data items labeled at different granularities. During training, each item within the training data set can be fed through the neural network. For items with labels of a higher granularity, weights of the network can be adjusted based on a comparison between the output of the network and the label of the item. For items with labels of a lower granularity, an output of the network can be fed through a conversion function that convers the output from the higher granularity to the lower granularity. The weights of the network can then be adjusted based on a comparison between the converted output and the label of the item.

Abstract: Provided are methods for scalable and realistic camera blockage dataset generation, which can include generating synthetic images depicting a blockage on or near an imaging sensor. The synthetic images may be created by combining one or more chroma key-extracted partial blockage image with one or more background images, the combination of which can provide a scalable blockage dataset. Metadata for each synthetic image can be generated along with the synthetic image, by annotating the portion of the synthetic image represented by the chroma key-extracted partial blockage image as constituting blockage. The synthetic images can be used to increase the accuracy of machine learning models trained to identify blockage by increasing the volume of data available for such training.

Abstract: A camera and an electronic apparatus are provided. The camera includes an image sensor and a lens assembly. The lens assembly is configured to form an image on the image sensor. The lens assembly includes multiple lens groups, and the multiple lens groups are arranged along an optical axis of the lens assembly. At least one of the multiple lens groups is movable relative to the image sensor to switch the lens assembly between a first mode and a second mode. A focusing object distance of the lens assembly in the first mode is less than a focusing object distance of the lens assembly in the second mode. The focusing object distance of the lens assembly in the first mode is less than 10 mm.

Abstract: Disclosed are an application of a coronavirus SARS-CoV-2 vaccine polypeptide, a polypeptide composition and a nanoemulsion preparation thereof in the prevention of coronavirus SARS-CoV-2 wild and mutant strain infections. Specifically, provided is a coronavirus SARS-CoV-2 vaccine polypeptide having an amino acid sequence derived from an S protein of SARS-CoV-2 wild and mutant strains, the vaccine polypeptide can enable the body to generate high-level and durable humoral immune responses against SARS-CoV-2 and to produce high titers of RBD-binding antibodies and neutralizing antibodies that block the binding of RBD to ACE2. The vaccine polypeptide can be used to prevent infections of SARS-CoV-2 wild strain and B.1.1.7, B.1.351, B.1.617, B.1.1.529 and other mutant strains.

Abstract: The present invention relates to a novel coronavirus vaccine using a TLR7 agonist conjugated peptide as an antigen and an emulsion as an adjuvant. An antigen polypeptide of the conjugated peptide is a polypeptide derived from an S protein of SARS-COV-2, and the adjuvant is an oil-in-water nanoemulsion containing squalene. The conjugated peptide nanoemulsion vaccine preparation of the present invention is thermally stable, and can induce a high level of protective humoral immune response in a cynomolgus monkey, and the neutralizing antibody titer of antiserum after immunization of cynomolgus monkey is high, such that invasion of wild-type strain and mutant novel coronavirus can be blocked. The vaccine of the present invention has a nearly complete protection effect on the upper and lower respiratory tracts of the cynomolgus monkey in a cynomolgus monkey SARS-COV-2 challenge test.

Abstract: The present disclosure relates to systems and methods for coding. The methods may include receiving at least two contexts, for each of the at least two contexts, obtaining at least one coding parameter corresponding to the context from at least one lookup table, determining a probability interval value corresponding to the context based on a previous probability interval value and the at least one coding parameter, determining a normalized probability interval value corresponding to the context by performing a normalization operation on the probability interval value, determining a probability interval lower limit corresponding to the context based on a previous probability interval lower limit and the at least one coding parameter, determining a normalized probability interval lower limit corresponding to the context by performing the normalization operation on the probability interval lower limit, and outputting at least one byte based on the normalized probability interval lower limit.

Abstract: Systems and methods are described for monitoring detection of objects in a sensor. The system can generate an occupancy array based on scene data corresponding to a scene of a vehicle. The array can include points that represent a location within the environment of the vehicle and an occupancy value that indicates whether an object is detected at that location. The system can modify an occupancy value of at least one point in the array and identify at least one static object miss based on a group of occupancy values of a group of points in the array.

Abstract: Provided are methods for scalable and realistic camera blockage dataset generation, which can include generating synthetic images depicting a blockage on or near an imaging sensor. The synthetic images may be created by combining one or more chroma key-extracted partial blockage image with one or more background images, the combination of which can provide a scalable blockage dataset. Metadata for each synthetic image can be generated along with the synthetic image, by annotating the portion of the synthetic image represented by the chroma key-extracted partial blockage image as constituting blockage. The synthetic images can be used to increase the accuracy of machine learning models trained to identify blockage by increasing the volume of data available for such training.

Abstract: This disclosure describes systems and methods for training a neural network with a training data set including data items labeled at different granularities. During training, each item within the training data set can be fed through the neural network. For items with labels of a higher granularity, weights of the network can be adjusted based on a comparison between the output of the network and the label of the item. For items with labels of a lower granularity, an output of the network can be fed through a conversion function that convers the output from the higher granularity to the lower granularity. The weights of the network can then be adjusted based on a comparison between the converted output and the label of the item.

Abstract: An image capturing method can be applied to an application, and include: determining a dimension adjustment approach set for a preset object in an acquired image to be processed after a dimension adjustment function of the application is turned on; and obtaining and displaying an adjusted image by adjusting a dimension of the preset object in the image to be processed according to the dimension adjustment approach, so as to support real-time preview of the adjusted image. As the dimension of the preset object in the image to be processed is adjusted in the image capturing process, the image capturing experience of the user is improved, and satisfying photos or videos can be obtained quickly.

Abstract: The present disclosure relates to systems and methods for coding. The methods may include receiving at least two contexts, for each of the at least two contexts, obtaining at least one coding parameter corresponding to the context from at least one lookup table, determining a probability interval value corresponding to the context based on a previous probability interval value and the at least one coding parameter, determining a normalized probability interval value corresponding to the context by performing a normalization operation on the probability interval value, determining a probability interval lower limit corresponding to the context based on a previous probability interval lower limit and the at least one coding parameter, determining a normalized probability interval lower limit corresponding to the context by performing the normalization operation on the probability interval lower limit, and outputting at least one byte based on the normalized probability interval lower limit.

Abstract: An image capturing method can be applied to an application, and include: determining a dimension adjustment approach set for a preset object in an acquired image to be processed after a dimension adjustment function of the application is turned on; and obtaining and displaying an adjusted image by adjusting a dimension of the preset object in the image to be processed according to the dimension adjustment approach, so as to support real-time preview of the adjusted image. As the dimension of the preset object in the image to be processed is adjusted in the image capturing process, the image capturing experience of the user is improved, and satisfying photos or videos can be obtained quickly.

Abstract: An earphone storage device includes a storage body having a bobbin, a track, and two sliders. The bobbin has a peripheral surface, an upper surface, a lower surface, a helical groove, and a protrusion. The helical groove is formed on the peripheral surface. The protrusion extends from the lower surface. The protrusion has a side surface and a hole formed in the side surface. The track is secured to the upper surface of the bobbin. The sliders are disposed on the track. The storage body stores earphones with an audio plug, earphone cords, and a pair of earbuds. The audio plug is inserted into the hole of the protrusion of the bobbin, the earphone cords are wound in the helical groove of the bobbin, and the earbuds are held by the sliders. The earphones can be securely stored, and the earphone cords do not tangle.

Abstract: An ear hanging type music player includes a left ear hanger and a right ear hanger. The left ear hanger includes a first hanging main body and a first ear plug. The first hanging main body includes a first earplug receiving groove, the first ear plug is movably received in the first earplug receiving groove. The right ear hanger includes a second hanging main body and a second ear plug. The second hanging main body has a same structure as the first hanging main body, the second hanging main body includes a second earplug receiving groove, the second ear plug is movably received in the second earplug receiving groove.

Abstract: An ear hanging type music player includes a left ear hanger and a right ear hanger. The left ear hanger includes a first hanging main body and a first ear plug. The first hanging main body includes a first earplug receiving groove, the first ear plug is movably received in the first earplug receiving groove. The right ear hanger includes a second hanging main body and a second ear plug. The second hanging main body has a same structure as the first hanging main body, the second hanging main body includes a second earplug receiving groove, the second ear plug is movably received in the second earplug receiving groove.

Abstract: An earphone storage device includes a storage body having a bobbin, a track, and two sliders. The bobbin has a peripheral surface, an upper surface, a lower surface, a helical groove, and a protrusion. The helical groove is formed on the peripheral surface. The protrusion extends from the lower surface. The protrusion has a side surface and a hole formed in the side surface. The track is secured to the upper surface of the bobbin. The sliders are disposed on the track. The storage body stores earphones with an audio plug, earphone cords, and a pair of earbuds. The audio plug is inserted into the hole of the protrusion of the bobbin, the earphone cords are wound in the helical groove of the bobbin, and the earbuds are held by the sliders. The earphones can be securely stored, and the earphone cords do not tangle.