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Change detection based on structural conditional random field framework for high spatial resolution remote sensing imagery., , , , and . IGARSS, page 1059-1062. IEEE, (2017)Unsupervised change detection based on conditional random fields and texture feature for high resolution remote sensing imagery., , , and . ChinaSIP, page 1081-1085. IEEE, (2015)Open Set Face Anti-Spoofing in Unseen Attacks., , , , and . ACM Multimedia, page 4082-4090. ACM, (2021)Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery., , , and . IEEE Trans. Geosci. Remote. Sens., 56 (7): 4002-4015 (2018)Unsupervised change detection model based on hybrid conditional random field for high spatial resolution remote sensing imagery., , , and . IGARSS, page 1863-1866. IEEE, (2016)QETR: A Query-Enhanced Transformer for Remote Sensing Image Object Detection., , and . IEEE Geosci. Remote. Sens. Lett., (2024)ShapeFormer: A Shape-Enhanced Vision Transformer Model for Optical Remote Sensing Image Landslide Detection., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Review of Vision Transformer Models for Remote Sensing Image Scene Classification., , , and . IGARSS, page 2231-2234. IEEE, (2022)Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping., , , , , , , , and . Int. J. Digit. Earth, 16 (1): 3321-3347 (December 2023)TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers., , , , , , , , and . CoRR, (2022)