《Stacked Cross Attention for Image-Text Matching》 - 代码天地

《Stacked Cross Attention for Image-Text Matching》

其他 2018-08-20 00:41:22 阅读次数: 0

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转载自blog.csdn.net/qq_33373858/article/details/81509636

《Stacked Cross Attention for Image-Text Matching》

Stacked Cross Attention for Image-Text Matching

Deep Cross-Modal Projection Learning for Image-Text Matching

跨模态检索论文阅读：Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching

论文解读：Stacked Attention Networks for Image Question Answering

《Stacked Attention Networks for Image Question Answering》论文解读与实验

解读 IASM《Interactive Attention for Semantic Text Matching》

图解cross attention

self-attention和cross-attention

论文阅读图片和文本联合训练：IMAGEBERT: CROSS-MODAL PRE-TRAINING WITH LARGE-SCALE WEAK-SUPERVISED IMAGE-TEXT DATA

Cross-Spectral Image Patch Matching by Learning Features of the Spatially Connected Patches 论文阅读

【科研】浅学Cross-attention？

Self -Attention、Multi-Head Attention、Cross-Attention

【论文阅读】MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention

《Dual Attention Networks for Multimodal Reasoning and Matching》

CCNet:Criss-Cross Attention for Semantic Segmentation

「Medical Image Analysis」Note on Deep Stacked Transformations

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks 阅读及实现

《StackGAN:Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks》探析

StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

文本匹配（Text Matching）

Stereo Matching文献笔记之（一）：《Cross-Scale Cost Aggregation for Stereo Matching》读后感

Stereo Matching文献笔记：《Cross-Scale Cost Aggregation for Stereo Matching》

【论文精读】ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

18-CCNet-Criss-Cross-Attention-for-Semantic-Segmentation

《CCNet：Criss-Cross Attention for Semantic Segmentation》论文笔记

多模态条件机制 Cross Attention 原理及实现

NIPS2019《Cross Attention Network for Few-shot Classification》

解决ModuleNotFoundError: No module named ‘diffusers.models.cross_attention‘

深度学习：cross-attention介绍以及与self-attention的区别

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