WILD-SAM is a fine-tuned SAM variant using phase-aware MoE adapters and wavelet subband enhancement that achieves state-of-the-art landslide detection on wrapped InSAR data.
Transformer tracking via frequency fusion
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ASGNet combines a spectrum-guided non-local perception module, multi-source semantic extractor, and dense cross-layer decoder to outperform 21 prior methods on five polyp segmentation benchmarks.
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WILD-SAM: Phase-Aware Expert Adaptation of SAM for Landslide Detection in Wrapped InSAR Interferograms
WILD-SAM is a fine-tuned SAM variant using phase-aware MoE adapters and wavelet subband enhancement that achieves state-of-the-art landslide detection on wrapped InSAR data.
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ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation
ASGNet combines a spectrum-guided non-local perception module, multi-source semantic extractor, and dense cross-layer decoder to outperform 21 prior methods on five polyp segmentation benchmarks.