Through establishment of a test set including four languages, an identification effect of the text-image similarity-degree measurement method is tested and by application of recall ratio, precision ratio and an F value, an effect of the method is measured and a result turns out that the recall...
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 ...
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...
R-prec在COCO图像上通常会失败,因为在COCO图像中,可能会将高度相似性分配给提到全局背景色的错误标文本描述或出现在中间的对象。 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,...
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。
attention-based encoder学习word到pixel,条件自回归decoder学习pixel到pixel和图像的生成。使用了Structural Similarity Index评估。数据集:COCO,MNIST-with-captions。 23.Text Guided Person Image Synthesis 文本控制人像的image-to-image生成。用VQA Perceptual Score评估。(效果看起来不是很好) ...
{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-...
Similarity Float 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。 AspectRatioMode String 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。 resize:将图像拉伸到...
Can multimodal embeddings improve transfer learning performance in low-data classification tasks over unimodal embeddings? Related works show improvements in classification and similarity tasks when combining visual and text modalities. Does this effect carry over to the medical domain?
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 ...