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Found 5 papers, 2 papers with code
$\textit{A Contrario}$ Paradigm for YOLO-based Infrared Small Target Detection
Traditional object detection methods such as YOLO struggle to detect tiny objects compared to segmentation neural networks, resulting in weaker performance when detecting small targets.
Deep learning-based deconvolution for interferometric radio transient reconstruction
Finally, based on the test data, we evaluate the source profile reconstruction performance of the proposed methods and classical image deconvolution algorithm CLEAN applied frame-by-frame.
Deep-NFA: a Deep $\textit{a contrario}$ Framework for Small Object Detection
The detection of small objects is a challenging task in computer vision.
Stable Long-Term Recurrent Video Super-Resolution
Finally, we introduce a new framework of recurrent VSR networks that is both stable and competitive, based on Lipschitz stability theory.
Deep Unrolled Network for Video Super-Resolution
Yet, they fail to incorporate some knowledge about the image formation model, which limits their flexibility.
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