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MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling., , , , , и . SIGIR, стр. 1528-1538. ACM, (2023)CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation., , , , , , и . IEEE Trans. Multim., (2024)PVUW 2024 Challenge on Complex Video Understanding: Methods and Results., , , , , , , , , и 27 other автор(ы). CoRR, (2024)Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation., , , , , , и . CVPR, стр. 12998-13008. IEEE, (2024)COSA: Concatenated Sample Pretrained Vision-Language Foundation Model., , , , , и . ICLR, OpenReview.net, (2024)Fuse and Calibrate: A Bi-directional Vision-Language Guided Framework for Referring Image Segmentation., , , , и . ICIC (11), том 14872 из Lecture Notes in Computer Science, стр. 313-324. Springer, (2024)MMNet: Multi-Mask Network for Referring Image Segmentation., , , и . CoRR, (2023)The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution., , , , и . CoRR, (2024)Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing., , , , , и . CoRR, (2021)2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation., , , , , и . CoRR, (2024)