超越 CLIP 的视觉-语言模型：Scaling Up Visual and Vision-Language Representation Learning - 代码天地

超越 CLIP 的视觉-语言模型：Scaling Up Visual and Vision-Language Representation Learning

企业开发 2022-04-04 18:27:58 阅读次数: 0

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转载自blog.csdn.net/weixin_44936889/article/details/120773907

超越 CLIP 的视觉-语言模型：Scaling Up Visual and Vision-Language Representation Learning

【微调视觉-语言模型】Learning to Prompt for Vision-Language Models

《Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning》—论文笔记

【论文&模型讲解】CLIP（Learning Transferable Visual Models From Natural Language Supervision）

【论文&模型学习】从自然语言监督中学习可迁移视觉 CLIP（Learning Transferable Visual Models From Natural Language Supervision）

clip:learning transferable visual models from natural language supervision

CLIP : Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

【读点论文】Vary: Scaling up the Vision Vocabulary for Large Vision-Lang...构建更泛化的中文视觉语言词表，继承了SAM和CLIP知识

【论文简介】CLIP：图像与自然语言配对预训练可迁移模型：Learning Transferable Visual Models From Natural Language Supervision

CLIP论文翻译、Learning Transferable Visual Models From Natural Language Supervision翻译

多模态与对比学习入门CLIP（一）——Learning Transferable Visual Models From Natural Language Supervision

Momentum Contrast for Unsupervised Visual Representation Learning

MOCO： Momentum Contrast for Unsupervised Visual Representation Learning

MoCO ——Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Visual Representation Learning by Context Prediction（2015

【论文&模型讲解】VideoBERT: A Joint Model for Video and Language Representation Learning

【AIGC】16、Vision-Language 模型在视觉任务中的调研

【论文视频】Clip：Learning Transferable Visual Models From Natural Language Supervision【多模态，对比学习，迁移学习】

超越CLIP！谷歌发布首个大规模MoE架构的视觉语言模型

【多模态论文解读】Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

论文阅读 Deep Attentional Structured Representation Learning for Visual Recognition

Paper Reading - Learning a Recurrent Visual Representation for Image Caption Generation

论文解读：从自然语言监督学习可转移视觉模型Learning Transferable Visual Models From Natural Language Supervision

【提示学习论文五】Conditional Prompt Learning for Vision-Language Models论文原理及复现工作

【CVPR 2024】InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic

VLT：Vision-Language Transformer用于引用的视觉语言转换和查询生成分割

《HigherHRNet：Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation》论文笔记

「Computer Vision」Note on Deep High-Resolution Representation Learning

多模态预训练模型选用指南（Vision-Language Pre-traning）

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