Object Detection Algorithm Based on RFB Module and Attention Mechanism

Aiming at the problem of insufficient correlation of feature map extracted by deep convolutional network in object detection algorithm, an improved SSD object detection algorithm based on Re-ceptive Field Block and Coordinate Attention is proposed. The deep feature extraction network ResNet50 is used as the backbone network, and a coordinate attention module is added to the convolutional layer structure to capture the information of direction and location awareness. In