VLP(Vision-Language Pre-training)的发展和评估(1) - 代码天地

VLP(Vision-Language Pre-training)的发展和评估(1)

企业开发 2023-09-16 22:31:08 阅读次数: 0

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转载自blog.csdn.net/qq_41458274/article/details/132856598

VLP(Vision-Language Pre-training)的发展和评估(1)

【论文笔记】BLIP: Bootstrapping Language-Image Pre-training forUnified Vision-Language Understanding and

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Genera

【论文笔记】VLMO: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts

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

跨模态检索论文阅读：(PTP)Position-guided Text Prompt for Vision-Language Pre-training

论文笔记：Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Mo

论文笔记：COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representati

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

ZSSeg: A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language

【多模态】1、几种多模态 vision-language 任务和数据集介绍

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

阅读文献1：Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training（文章翻译及自身的理解和总结）

X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks论文笔记

【论文笔记】GPT-1：Improving Language Understanding by Generative Pre-Training

ChatGPT1论文解读《Improving Language Understanding by Generative Pre-Training》

GPT1解读：Improving Language Understanding by Generative Pre-Training

Re45：读论文 GPT-1 Improving Language Understanding by Generative Pre-Training

BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

REALM: Retrieval-Augmented Language Model Pre-Training

Grounded Language-Image Pre-training论文笔记

论文笔记：UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

跨模态检索论文阅读：Multi-Grained Vision Language Pre-Training: Aligning Texts with VisualConcepts(X-VLM)

Learning to Prompt for Vision-Language Models

Self-training Improves Pre-training for Natural Language Understanding，NAACL2021

论文阅读总结：UniLM(Unified Language Model Pre-training for Natural Language Understanding and Generation)

论文笔记 --《Unified Language Model Pre-training for Natural Language Understanding a

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Mode

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

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