基础模型( foundation models->预训练模型)为何突然激增的发展: 虽然基础模型的基本要素,如深度神经网络和自监督学习,已经存在多年,但最近的激增,特别是通过大型语言模型(LLM)实现的激增,主要归功于数据和模型规模的大规模扩展。例如,GPT-3等最新的十亿参数模型已被有效地用于零/少量学习,在不需要大规模特定任务数据...
,“Florence: A new foundation model for computer vision,” arXiv preprint arXiv:2111.11432, 2021. [141] Y. Gao, J. Liu, Z. Xu, J. Zhang, K. Li, and C. Shen, “Pyramidclip: Hierarchical feature alignment for vision-language model pretraining,” arXiv preprint arXiv:2204.14095, ...
Florence: A New Foundation Model for Computer Vision arXiv 2021 - RegionClip: Region-based Language-Image Pretraining arXiv 2021 Code DeCLIP: Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm ICLR 2022 Code FILIP: Fine-grained Interactive Language-Image ...
you must first understand their best use cases. Some AI applications work with data types that no foundation model can handle yet. And others are still better served by narrow AI, which is trained for a specific task. What’s more, bias in foundation models is a common concern due to hom...
Expanding 3D-GS with Large Foundation Models. 最近的研究,如史等人。[Ship et al.,2023],已经证明在3D-GS中嵌入语言可以显著增强3D场景理解。随着2023年大型基础模型的问世,它们的非凡能力在广泛的愿景任务中得到了展示。值得注意的是,SAM模型已经成为一种强大的细分工具,成功地在3D-GS中找到了应用[Ye等人,2023...
(ICML'23) mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image, and Video[paper][code] (arXiv 2022.05) GIT: A Generative Image-to-text Transformer for Vision and Language[paper][code] (CVPR'23) Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Vid...
Andersson O, Heintz F, Doherty P (2015) Model-based reinforcement learning in continuous environments using real-time constrained optimization. In AAAI Arulkumaran K, Deisenroth MP, Brundage M, Bharath AA (2017) A brief survey of deep reinforcement learning. arXiv preprint arXiv:1708.05866 Avinash...
Florence: A New Foundation Model for Computer Vision, arXiv 2021/11 Task-specific Text-image retrieval:ImageBERT: Cross-Modal Pre-training with Large-scale Weak-supervised Image-text Data, arXiv 2020/01 Image captioning:XGPT: Cross-modal Generative Pre-Training for Image Captioning, arXiv 2020...
(2021) pivoted their survey to the DeepFake generation aspect with detailed model architecture charts for each individual DNN used for DeepFake generation methods the authors have surveyed, which is both informative and illustrative. However, less attention is paid to the DeepFake detection aspect, ...