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Making LLaMA SEE and Draw with SEED Tokenizer., , , , , , и . CoRR, (2023)ViT-Lens-2: Gateway to Omni-modal Intelligence., , , , , , , , и . CoRR, (2023)Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection., , , , , и . ICCV, стр. 6221-6230. IEEE, (2023)A Note on the Extended Kalman Filter on a Manifold., , и . CDC, стр. 7687-7694. IEEE, (2023)Cached Transformers: Improving Transformers with Differentiable Memory Cachde., , , , , и . AAAI, стр. 16935-16943. AAAI Press, (2024)GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction., , , , , , и . NeurIPS, (2023)Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification., , , и . CVPR, стр. 3436-3445. Computer Vision Foundation / IEEE, (2021)SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation., , , , , , , , и . CoRR, (2024)Attack is Good Augmentation: Towards Skeleton-Contrastive Representation Learning., , , , , и . CoRR, (2023)Dynamic Token Normalization improves Vision Transformers., , , , , , и . ICLR, OpenReview.net, (2022)