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Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation., , , , , и . ICCV, стр. 13877-13887. IEEE, (2023)Towards Efficient Scene Understanding via Squeeze Reasoning., , , , , , , и . CoRR, (2020)PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation., , , , , , , и . ECCV (27), том 13687 из Lecture Notes in Computer Science, стр. 582-599. Springer, (2022)DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection., , , , , , , , и . CoRR, (2023)4D Panoptic Scene Graph Generation., , , , , , , , и . CoRR, (2024)Involution: Inverting the Inherence of Convolution for Visual Recognition., , , , , , , и . CVPR, стр. 12321-12330. Computer Vision Foundation / IEEE, (2021)Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation., , , , , и . ECCV (27), том 13687 из Lecture Notes in Computer Science, стр. 729-747. Springer, (2022)Exploring Self-Supervised Learning for Multi-Modal Remote Sensing Pre-Training via Asymmetric Attention Fusion., , , , и . Remote. Sens., 15 (24): 5682 (декабря 2023)Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow., , , , , , и . Int. J. Comput. Vis., 132 (2): 466-489 (февраля 2024)BoundarySqueeze: Image Segmentation as Boundary Squeezing., , , , , , , и . CoRR, (2021)