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A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns.

, , , , and . ISVC (2), volume 9475 of Lecture Notes in Computer Science, page 173-184. Springer, (2015)

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The Emerging Field of Graph Signal Processing for Moving Object Segmentation., , , , and . IW-FCV, volume 1405 of Communications in Computer and Information Science, page 31-45. Springer, (2021)Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets., , , , , , and . ICCV (Workshops), page 1510-1514. IEEE, (2023)SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos., , , and . CoRR, (2022)Graph Moving Object Segmentation., , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (5): 2485-2503 (2022)Inductive Graph Neural Networks for Moving Object Segmentation., , , and . ICIP, page 2730-2734. IEEE, (2023)On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks., , , and . CIKM, page 566-576. ACM, (2023)Automatic segmentation of lizard spots using an active contour model., and . CoRR, (2016)GraphBGS: Background Subtraction via Recovery of Graph Signals., and . ICPR, page 6881-6888. IEEE, (2020)Few Labels are Enough! Semi-supervised Graph Learning for Social Interaction., , , and . ICCV (Workshops), page 3052-3060. IEEE, (2023)