This article is approximately 1800 words long and is recommended to be read in 5 minutes. This article will deeply introduce the 7 core functions of the torch.utils.data module in PyTorch, which can help you better manage and manipulate data. In machine learning and deep learning projects, data processing is a crucial part. PyTorch, as … Read more
Face recognition is ubiquitous in our lives, for example, in building access control systems, where it replaces traditional access cards or passwords, enhancing convenience and security. In terms of mall security, face recognition is widely used in monitoring systems, helping to identify and track potential criminals or missing persons, thus improving safety measures. Additionally, unlocking … Read more
Click on the above “Visual Learning for Beginners“, select to add “Starred” or “Top“ Heavyweight content delivered first-hand Authors: An Sheng, Yuan Mingkun, Datawhale Members In the field of CV, what else can transformers do besides classification? This article will use a word recognition task dataset to explain how to use transformers to implement a … Read more
A critical prerequisite for training large language models is a high-quality, large-scale dataset. To promote the development of the open-source large model ecosystem, Cerebras has released a massive text dataset called SlimPajama, which can serve as a training dataset for large language models and is of very high quality. Cerebras is an American AI chip … Read more
Big Data Digest authorized reprint from Xi Xiaoyao Technology Author | Xie Nian Nian In interpersonal communication, especially when using a language as profound as Chinese, people often do not answer questions directly but instead adopt implicit, obscure, or indirect expressions. Humans can make accurate judgments about some implied meanings based on past experiences or … Read more
Source: I Love Computer Vision This paper shares the work titledCreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation, proposed by Fudan University and ByteDance, introducing a new paradigm for layout-to-image generation that supports controllable image generation under the MM-DiT architecture based on layouts! Paper link: https://arxiv.org/abs/2412.03859 Project homepage: https://creatilayout.github.io Project code: https://github.com/HuiZhang0812/CreatiLayout Project Demo: … Read more