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Darwinian Model Upgrades: Model Evolving with Selective Compatibility.

, , , , , , , and . AAAI, page 3393-3400. AAAI Press, (2023)

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Making LLaMA SEE and Draw with SEED Tokenizer., , , , , , and . CoRR, (2023)ViT-Lens-2: Gateway to Omni-modal Intelligence., , , , , , , , and . CoRR, (2023)Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection., , , , , and . ICCV, page 6221-6230. IEEE, (2023)Cached Transformers: Improving Transformers with Differentiable Memory Cachde., , , , , and . AAAI, page 16935-16943. AAAI Press, (2024)All in One: Exploring Unified Video-Language Pre-Training., , , , , , , , , and 2 other author(s). CVPR, page 6598-6608. IEEE, (2023)A Note on the Extended Kalman Filter on a Manifold., , and . CDC, page 7687-7694. IEEE, (2023)GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction., , , , , , and . NeurIPS, (2023)Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification., , , and . CVPR, page 3436-3445. Computer Vision Foundation / IEEE, (2021)SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation., , , , , , , , and . CoRR, (2024)Dynamic Token Normalization improves Vision Transformers., , , , , , and . ICLR, OpenReview.net, (2022)