RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection. (arXiv:2311.00917v1 [cs.CV])

Deep learning (DL) networks have achieved remarkable performance in infrared
small target detection (ISTD). However, these structures exhibit a deficiency
in interpretability and are widely regarded as black boxes, as they disregard
domain knowledge in ISTD. To alleviate this issue, this work proposes an
interpretable deep network for detecting infrared dim targets, dubbed RPCANet.
Specifically, our approach formulates the ISTD task as sparse target
extraction, low-rank background estimation, and image reconstruction in a
relaxed Robust Principle Component Analysis (RPCA) model. …

arxiv black boxes deep learning detection domain domain knowledge interpretability issue knowledge network networks performance small work