Infrared Small Target Detection with Scale and Location Sensitivity

arXiv:2403.19366v1 Announce Type: new
Abstract: Recently, infrared small target detection (IRSTD) has been dominated by deep-learning-based methods. However, these methods mainly focus on the design of complex model structures to extract discriminative features, leaving the loss functions for IRSTD under-explored. For example, the widely used Intersection over Union (IoU) and Dice losses lack sensitivity to the scales and locations of targets, limiting the detection performance of detectors. In this paper, we focus on boosting detection performance with a more effective …

arxiv cs.cv detection location scale sensitivity small type