32 Commits data fig utils Framework.pdf Main.py README.md SSAH.png SSAH.py load_data.py ops.py setting.py tnet.py README SSAH Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval Abstract Thanks to the success of deep learning, cross-modal retrieval has made significant progr...
论文地址: https://www.researchgate.net/publication/320541510_Adversarial_Cross-Modal_Retrievalwww.researchgate.net 来源:ACM Multimedia 2017 作者:电子科技大学英才实验学院2014级本科生王泊锟同学以第一作者身份发表,获ACM Multimedia 2017会议最佳论文奖... 查看原文 【论文解读 KDD 2018 | EANN】Event ...
阅读笔记 Modality-specific and shared generative adversarial network for cross-modal retrieval,程序员大本营,技术文章内容聚合第一站。
Cross-Modal Transferable Adversarial Attacks from Images to Videos. [pdf] Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang. CVPR, 2022. Boosting the Transferability of Video Adversarial Examples via Temporal Translation. [pdf] [code] Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang. ...
# Adversarial learning for cross-modal analysis and retrieval # Adversarial learning for image/video classification/detection/tracking # Adversarial learning techniques on multi-modal learning # Advanced techniques for generating adversarial examples
R2gan: Cross-modal recipe retrieval with generative adver- sarial network. In IEEE/CVF CVPR, pages 11477–11486, 2019. [43] Zhiqin Zhu, Hongpeng Yin, Yi Chai, Yanxia Li, and Guanqiu Qi. A novel multi-modality image fusion method based on i...
To model the objective of the generator and the discriminator, we will use the Binary Cross-Entropy loss function from equation 1. For the first objective of the discriminator, i.e. to maximize the probability : the true label is 1, and the predicted output ...
生成模型,特别是GANs,能处理多模态输出(multi-modal)的问题。多模态输出问题(对于离散输出来说,就是多类标问题【multi-label】)是很多机器学习算法没办法直接处理的问题,很多机器学习算法的loss定义为均方误差,它实际上将多种可能的输出做了平均。下图给出了一个预测视频的下一帧的例子,使用MSE训练的结果,图像模糊了...
They incorporated a deep-coupled visual-poetic embedding model and an RNN-based generator for joint learning in which two discriminators provide rewards for measuring cross-modality relevance and poeticness by multi-adversarial training. On the ...
github) 3D-RecGAN -3D Object Reconstruction from a Single Depth View with Adversarial Learning(github) ) ALI - AlignGAN -AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks AM-GAN - AnoGAN -Unsupervised Anomaly Detection with Generative Adversarial Networks ...