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Towards Unified and Effective Domain Generalization., , , , , , и . CoRR, (2023)Improving Transferability for Domain Adaptive Detection Transformers., , , , , и . ACM Multimedia, стр. 1543-1551. ACM, (2022)Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors., , , , , , , и . CoRR, (2023)End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment., , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (12): 12194-12207 (декабря 2023)Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities., , , , , и . CVPR, стр. 6108-6117. IEEE, (2024)MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition., , , , , и . CVPR, стр. 5212-5221. Computer Vision Foundation / IEEE, (2021)Reg-TTA3D: Better Regression Makes Better Test-Time Adaptive 3D Object Detection., , , , , , и . ECCV (43), том 15101 из Lecture Notes in Computer Science, стр. 197-213. Springer, (2024)Critical Classes and Samples Discovering for Partial Domain Adaptation., , , , , и . IEEE Trans. Cybern., 53 (9): 5641-5654 (сентября 2023)OneLLM: One Framework to Align All Modalities with Language., , , , , , , , и . CoRR, (2023)Text-to-3D Generation with Bidirectional Diffusion Using Both 2D and 3D Priors., , , , , , , и . CVPR, стр. 5115-5124. IEEE, (2024)