In EDDH, the discriminative capability of hash codes is enhanced by a distribution-based continuous semantic-visual similarity matrix, where not only the margin between the positive pairs and negative pairs is expanded, but also the visual linkages between image pairs is considered. Specifically, ...
Image searchImage clusterSocial imageImage conceptsConcept relevanceFlickrTagPartially due to the short and ambiguous keyword queries, many image search engines group search results into conceptual image clusters to minimize the chance of completely missing user search intent....
使用点积相似性(dot-product similarity)和铰链损失函数(hinge rank loss)结合来作为该模型的损失函数,这可以使得在图像模型的输出和该图像对应的正确的标签的向量表示之间的点积相似性,要比不正确的其他标签的向量与该图像的相似性高。( - - 说得有点绕,就是为了预测得更准确的意思) 该损失函数的公式和部分符号...
We propose to produce a f i nal similarity betweeninstances by fusing similarities measured in each embeddingspace using a weighted sum strategy. We determine the weightsaccording to a sentence. Therefore, we can f l exibly emphasizean embedding space. We conducted sentence-to-video retrieval...
the proposed approach employs the deep visual-semantic embedding model to directly compute the similarity between the query and video thumbnails by mapping them into a common latent semantic space, where even unseen query thumbnail pairs can be correctly matched. In particula...
Result: Trademark approval system using semantic similarity computation The rapid growth of e-commerce at the beginning of 21st century has had an important effect on intellectual property rights and management. A specific area... V Karvnde,SS Sanghavi 被引量: 0发表: 0年 JRefEntry DTD This ...
Using representational similarity analysis (RSA)28, we compare representations at each stage of the combined visuo-semantic model to fMRI data collected on a large set of familiar objects. We predict a gradient along the posterior-to-anterior axis of the ventral stream, with the low-level visual...
We found strong evidence that visual similarity and semantic relatedness are complementary for the task, and when combined notably improve detection, achieving state-of-the-art detection performance in a semi-supervised setting. 展开 关键词: ieee computer society 会议名称: 2016 IEEE Conference on ...
To bridge the cross-granularity gap, we approximate the fine-grained data distribution by greedy clustering of each coarse-class into pseudo-fine-classes according to the similarity of image embeddings. We then propose a meta-embedder that jointly optimizes the visual- and semantic-discrimination, ...
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-ide 摘要 在图像检索中,提取图像特征和生成hash function是两个关键的步骤。之前大部分深度学习的方法这两个步骤是相互分开的,同时输出的hash code的长度是预先设置好的。这样就会忽略掉不同长度的hash code分别代表的...