Abstract: According to one implementation, a system includes a computing platform having a hardware processor and a system memory storing a software code including a trained neural network (NN). The hardware processor executes the software code to receive an input image including a pixel anomaly, identify, using the trained NN, one or more salient regions of the input image, and determine whether the pixel anomaly is located inside any of the one or more salient regions. The hardware processor further executes the software code to assign a first priority to the pixel anomaly when it is determined that the pixel anomaly is located inside any of the one or more salient regions, and to assign a second priority, lower than the first priority, to the pixel anomaly when it is determined that the pixel anomaly is not located inside any of the one or more salient regions.

Abstract: A robot for pond desilting is provided, which includes a frame, a lead screw sliding table, and a suction pipe. An end of the frame is provided with a pressure-resistant cabin. A lead screw base is disposed on the lead screw sliding table. A rotary lead screw is disposed on the lead screw sliding table. The lead screw base is disposed on the rotary lead screw. Waterproof motors are disposed above the lead screw base, a pump body is disposed in the frame, and the suction pipe is disposed at an end of the pump body. When the robot is placed at the bottom of the pond, the motor inside the pressure-resistant cabin drives the power wheels to rotate, the power wheels drive the tracks to rotate around the power wheels, bearing wheels, and tension wheels, thereby driving the frame to move.

Abstract: According to one implementation, a system includes a computing platform having a hardware processor and a system memory storing a software code including a trained neural network (NN). The hardware processor executes the software code to receive an input image including a pixel anomaly, identify, using the trained NN, one or more salient regions of the input image, and determine whether the pixel anomaly is located inside any of the one or more salient regions. The hardware processor further executes the software code to assign a first priority to the pixel anomaly when it is determined that the pixel anomaly is located inside any of the one or more salient regions, and to assign a second priority, lower than the first priority, to the pixel anomaly when it is determined that the pixel anomaly is not located inside any of the one or more salient regions.