Introduces AC-SLSIoU loss combining logit-domain margin constraint, adaptive boundary suppression, and false-alarm focal loss to improve discrimination and contour quality in infrared small target detection.
Deep learn- ing based infrared small object segmentation: Challenges and fu- ture directions,
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Boosting Infrared Small Target Detection via Logit-Domain Contrast and Adaptive Shape Refinement
Introduces AC-SLSIoU loss combining logit-domain margin constraint, adaptive boundary suppression, and false-alarm focal loss to improve discrimination and contour quality in infrared small target detection.