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

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

企业开发 2024-01-08 18:51:39 阅读次数: 0

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转载自blog.csdn.net/weixin_51293984/article/details/135348874

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

Learning to Prompt for Vision-Language Models

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

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

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

【论文笔记】BEIT 3 ——Image as a Foreign Language: BEIT Pretraining forAll Vision and Vision-Language Tasks

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

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

【ICLR 2023】Diffusion Models扩散模型和Prompt Learning提示学习：prompt-to-prompt

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

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

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

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

指示学习（Instruct Learning）和提示（Prompt Learning）学习区别

【迁移学习论文六】Learning Semantic Representations for Unsupervised Domain Adaptation论文原理及复现工作

Prompt 学习和微调综述 (Prompt Learning and Tuning)

[mPLUG]: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections多模态特征融合方法泛读

AI新宠：Prompt Learning,用提示学习调教大模型

深度学习论文: Learning Transferable Visual Models From Natural Language Supervision

Prompt Learning 简介

Prompt Learning详解

【人工智能】大模型提示工程的完整介绍 | A Complete Introduction to Prompt Engineering For Large Language Models

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

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

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

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

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation 论文解读、复现

[论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Prompt （提示）

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