《Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models》 - 代码天地

《Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models》

其他 2018-08-20 00:41:52 阅读次数: 0

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转载自blog.csdn.net/qq_33373858/article/details/81509585

《Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models》

Cross-modal Retrieval

论文笔记：Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval

Unsupervised Generative Adversarial Cross-modal Hashing

跨模态搜索(cross-modal/media retrieval) 跨模态搜索(cross-modal/media retrieval)

【论文阅读】A Deep Look into Neural Ranking Models for Information Retrieval

论文笔记：Probabilistic Embeddings for Cross-Modal Retrieval

【论文阅读】Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval 多义性视觉-语义编码跨模态检索视频图像文本

Modal-adversarial Semantic Learning Network for Extendable Cross-modal Retrieval 阅读笔记

《Cross-Modal Retrieval in the Cooking Context__Learning Semantic Text-Image Embeddings》

跨模态检索Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval

【论文阅读】Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval 图文检索多模态

论文阅读：Adversarial Cross-Modal Retrieval对抗式跨模式检索

跨模态检索综述A Survey of Full-Cycle Cross-Modal Retrieval: From a Representation Learning Perspective

跨模态检索CM-GANs: Cross-modal Generative AdversarialNetworks for Common Representation Learning

【论文阅读】Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021 --- 跨模态检索，概率嵌入，一对多，多对多匹配

Generative Models(生成模型)简介

X-GEAR:Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction

【论文精读】Improving Simple Models with Confidence Profiles

跨模态检索论文阅读：Cross Modal Retrieval with Querybank Normalisation

RETRIEVAL MEETS LONG CONTEXT LARGE LANGUAGE MODELS

Cross-Modal Prompt Tuning

Cross-media Retrieval

文献阅读 Improving Seismic Data Resolution with Deep Generative Networks

Semantic Image Inpainting with Deep Generative Models

Generative Models as a Data Source for Multiview Representation Learning

LOGAN：Membership Inference Attacks Against Generative Models

多模态任务之视听事件定位（AVEL）算法解读及源码——Cross-modal Background Suppression for Audio-Visual Event Localization

跨模态/多模态 cross-modal

[文献阅读]—Improving the Lexical Ability of Pretrained Language Models for Unsupervised NMT

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