Visible-infrared image matching based on parameter-free attention mechanism and target-aware graph attention mechanism

Wuxin Li, Qian Chen, Guohua Gu, Xiubao Sui

Abstract: Highlights•We proposed a network called VINet for visible and infrared image matching.•AM-Net we designed can effectively extract the features of visible-infrared images.•Target-aware graph attention and CIoU loss can improve matching performance of VINet.•Our reconstructed data sets contains abundant features.•VINet gets the highest mAP on the all test images.