|
- BLIP系列——BLIP、BLIP-2、InstructBLIP、BLIP-3 - 知乎
BLIP是一系列开源的多模态大模型。 该系列的技术路线从无差别”拼接“不同模态及任务的模型,演变为以LLM为核心、将视觉特征转化为文本token的多模态模型。
- Blip – The fastest way to send files
Blip lets you send files of any size across platforms to your other devices, or to anyone (wherever they are) Files go directly to the other person, so they can start receiving instantly at super fast speeds, even over long distances Get started with Blip for free today
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision . . .
Announcement: BLIP is now officially integrated into LAVIS - a one-stop library for language-and-vision research and applications! This is the PyTorch code of the BLIP paper [blog]
- BLIP:统一视觉语言理解与生成的预训练模型 - CSDN博客
BLIP是Salesforce开发的VLP模型,通过MED架构和Captioner-Filter机制提升多模态理解和生成能力。 它在减少文本噪声的同时,在多项视觉语言任务中取得SOTA性能,超越CLIP。
- 【BLIP】解读BLIP - 彼得虫 - 博客园
BLIP,全称是Bootstrapped Language-Image Pretraining,源自《BLIP: Bootstrapping Language-Image Pre-training for Unifified Vision-Language Understanding and Generation》这篇文章,是来自Salesforce Research的一个多模态模型。
- [2201. 12086] BLIP: Bootstrapping Language-Image Pre-training for . . .
In this paper, we propose BLIP, a new VLP framework which transfers flexibly to both vision-language understanding and generation tasks BLIP effectively utilizes the noisy web data by bootstrapping the captions, where a captioner generates synthetic captions and a filter removes the noisy ones
- 多模态超详细解读 (六):BLIP:统一理解和生成的自举多模态模型 - 知乎
BLIP 是一种多模态 Transformer 模型,主要针对以往的视觉语言训练 (Vision-Language Pre-training, VLP) 框架的两个常见问题: 大多数现有的预训练模型仅在基于理解的任务或者基于生成的任务方面表现出色,很少有可以兼顾的模型。
- BLIP - Hugging Face 文档
它用于根据指定的参数实例化 BLIP 模型,定义文本模型和视觉模型配置。 使用默认值实例化配置将生成与 BLIP-base Salesforce blip-vqa-base 架构类似的配置。 配置对象继承自 PretrainedConfig,可用于控制模型输出。 有关更多信息,请阅读 PretrainedConfig 的文档。
|
|
|