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Robust Infrared Small Target Detection Using Multiscale Gray and Variance Difference Measures., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (12): 5039-5052 (2018)A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (6): 1933-1947 (2019)Dense Nested Attention Network for Infrared Small Target Detection., , , , , , , and . CoRR, (2021)Learning Sparse Masks for Efficient Image Super-Resolution., , , , , , and . CoRR, (2020)Detecting Dim Small Target in Infrared Images via Subpixel Sampling Cuneate Network., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Exploring Sparsity in Image Super-Resolution for Efficient Inference., , , , , , and . CVPR, page 4917-4926. Computer Vision Foundation / IEEE, (2021)Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection., , , , , , , and . ICCV, page 1009-1019. IEEE, (2023)Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Hyperspectral Detection and Unmixing of Subpixel Target Using Iterative Constrained Sparse Representation., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)