Abstract: An electroplating apparatus including an anode and a cathode, a power supply, and a regulating plate is provided. The power supply is electrically connected to the anode and the cathode. The regulating plate is arranged between the anode and the cathode. The regulating plate includes an insulating grid plate and a plurality of magnetic components. The plurality of magnetic components are uniformly and randomly arranged on the insulating grid plate. An electroplating method is also provided.

Abstract: A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

Abstract: An electroplating apparatus including an anode and a cathode, a power supply, and a regulating plate is provided. The power supply is electrically connected to the anode and the cathode. The regulating plate is arranged between the anode and the cathode. The regulating plate includes an insulating grid plate and a plurality of magnetic components. The plurality of magnetic components are uniformly and randomly arranged on the insulating grid plate. An electroplating method is also provided.

Abstract: Provided is an electroplating apparatus including an electroplating tank, an anode and a cathode, a power supply, and a regulating plate. The electroplating tank accommodates electrolyte. Both the anode and the cathode are disposed in the electroplating tank. The power supply is electrically connected to the anode and the cathode. The regulating plate is disposed between the anode and the cathode. The regulating plate includes a plurality of mesh openings and a plurality of metal sheets, and at least part of the metal sheets is electrically connected with the cathode. An electroplating method is also provided.

Abstract: A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

Abstract: A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

Abstract: A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.