A general target detection method for an adaptive attention guidance mechanism. The method comprises cross downsampling, target region recognition (SORR), pyramid prediction convolution (APPK) of the attention guidance mechanism, and intersection over union (IoU) adaptive loss optimization. The cross downsampling can keep the overall fine texture characteristics in a multi-scale feature map, and reduces the loss of space information in an image downsampling process. An SORR module divides the feature map into n×n grids and obtains an attention score map, which improves the target detection efficiency. An APPK module can select a recommended region to solve the mismatch problem between a prediction module and a multi-scale target. An IoU adaptive loss function is used for solving the hard example problem in a training. The target detection method is better than the existing general target detection method in terms of both the accuracy and the detection speed.
GENERAL TARGET DETECTION METHOD FOR ADAPTIVE ATTENTION GUIDANCE MECHANISM