A monotonic diff-based scale loss and learnable Gaussian convolution with adaptive pinwheel masking improve mIoU, Pd, and Fa for infrared small target detection on three benchmarks.
In: Proceedings of the AAAI conference on artificial intelligence
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Revisiting the Scale Loss Function and Gaussian-Shape Convolution for Infrared Small Target Detection
A monotonic diff-based scale loss and learnable Gaussian convolution with adaptive pinwheel masking improve mIoU, Pd, and Fa for infrared small target detection on three benchmarks.