2. 阐述Stacked Cross Attention在图像文本匹配中的应用 在图像文本匹配任务中,Stacked Cross Attention 能够帮助模型理解图像中的视觉元素与文本描述之间的对应关系。例如,在图像检索任务中,给定一个文本查询,模型可以使用 Stacked Cross Attention 来关注图像中与文本描述最相关的区域,从而提高检索的准确性。同样,在图像...
此外,我们展示了如何利用学习到的 Stacked Cross Attention 为此类视觉语言模型提供更多可解释性。
然后用 Stacked Cross Attention 来推理对齐后的 image region 和 word feature 之间的 image-sentence similarity。 1.1. Stacked Cross Attention: Stacked Cross Attention 的输入有两个:一个是 image features V = {v1, v2, ... , vk},每一个图像特征编码了图像中的一个区域;另外一个是单词特征组合是 E...
Code has been made available at: (https://github.com/kuanghuei/SCAN).doi:10.1007/978-3-030-01225-0_13Kuang-Huei LeeXi ChenGang HuaHoudong HuXiaodong HeSpringer, ChamK. Lee, X. Chen, G. Hua, H. Hu, and X. He. Stacked cross attention for image-text matching. ECCV, 2018....
具体:word ---> one-hot vector ---> embeding到300维 ---> 双向GRU到h维 5. 总结 这篇文章最突出的就在于把attention应用到了word和region层面上的对齐,这就带来了很大解释性方面的提升,这样word和region的互相注意力机制和相似度计算也是题目叫做 Stacked Cross Attention(叠加交叉)的原因。发布于...
主要思路:分别对文本和图像应用attention的机制,学习比较好的文本和图像表示,然后再在共享的子空间中利用hard triplet loss度量文本和图像之间的相似性。 图像特征:采用ResNet-101的Faster R-CNN网络对每一个图像产生k个目标区域,提取每一个目标对象的特征,嵌入矩阵变换为h维的vector 文本特征:文本的每一个word得到on...
This is Stacked Cross Attention Network, source code of Stacked Cross Attention for Image-Text Matching (project page) from Microsoft AI and Research. The paper will appear in ECCV 2018. It is built on top of the VSE++ in PyTorch. Requirements and Installation We recommended the following depe...
Train at CrossFit Stacked in Hickory, NC—the best CrossFit gym for expert coaching, functional fitness, and a strong, supportive community.
Innovative Model Architecture:We introduced the efficacy of a Stacked Convolutional Neural Network with a Channel Attention Network (SCCAN) explicitly designed for AD detection. Our model comprises two stages of the feature extraction technique: stack CNN and channel attention module after applying the ...
features using Stacked Cross Attention. ¯Timg is theaveragetime to encode image region features extracted from region detector for one image. ¯Ttxt is theaveragetime to encode a sentence (not affected by k). ¯Ttrain is theaveragetraining timefor a mini-batch of 128 image-text pairs....