Text–image similarity awarenessDual evidence enhancementSemantic inconsistencyCross-attentionThe widespread use of social media has significantly facilitated the dissemination and exchange of information, while simultaneously providing fertile ground for the propagation of rumors. The rampant spread of rumors, ...
Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to capture limited number of semantic alignments which is less interpretable. In this ...
两个Encoder输出的特征经过线性层映射到同一个联合语义空间后,采用cosine similarity计算图文相似度。它的主要贡献是:提出在训练阶段使用hardest negative triplet loss,即:只考虑mini batch中和目标最相似的样本的计算triplet loss,而不是目标样本之外的全部样本。实验结果证明,取max的方法比传统sum的方法要更好。
作者提出了两个模块,相似图推理(SGR: Similarity Graph Reasoning)和相似注意力过滤(SAF: Similarity Attention Filteration)。前者用于识别单词图片相似性之间的复杂关系,后者用于过滤一些非重要的单词以提高预测准确性。 两个新模块 首先,作者延续之前的文章方法(Anderson et al. 2018)使用 Faster R-CNN 在图片中提取...
五、VS相似度(Visual-Semantic Similarity) 5.1、原理 VS相似度通过一个经过训练的视觉语义嵌入模型计算图像和文本之间的距离来衡量合成图像和文本之间的对齐。具体来说,学习两个映射函数,分别将图像和文本映射到公共表示空间。然后通过下面的公式,比较其相似性: ...
作业查重软件,它实现了程序代码、文档文本、图片之间的相似度检查。a code-similarity, text-similarity and image-similarity computation software for the codes, documents and images of assignment.
SimilarityFloat否0.2 参考程度。值在0～1之间,默认值为0.2。 0:完全不参考参考图,只基于文本生成图像。 1:完全复制参考图。 AspectRatioModeString否center_crop 图像缩放裁剪模式。包括center_crop和resize,默认为center_crop。 center_crop:最大限度保留图像中心部分,将边缘进行裁剪。
{v1, ..., vk}, vi 2 RD, such that each image feature encodes a region in an image; a set of word features E = {e1, ..., en}, ei 2 RD, in which each word feature encodes a word in a sentence. The output is a similarity score, which measures the similarity of an image-...
作业查重软件,它实现了程序代码、文档文本、图片之间的相似度检查。a code-similarity, text-similarity and image-similarity computation software for the codes, documents and images of assignment. - fanghon/antiplag
Accordingly, a Text-Image Similarity Database (TISDB) consisting of 615.6k text-image pairs of English characters, Chinese characters, and Arabic numbers was established. Extensive experiments were conducted to demonstrate that our TimNet outperforms existing state-of-the-art methods. 展开 ...