SPIRE turns IRSTD into centroid regression via single-point supervision and a high-resolution probabilistic encoder, matching prior performance with lower compute and false alarms.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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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.
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Rethinking IRSTD: Single-Point Supervision Guided Encoder-only Framework is Enough for Infrared Small Target Detection
SPIRE turns IRSTD into centroid regression via single-point supervision and a high-resolution probabilistic encoder, matching prior performance with lower compute and false alarms.
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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.