Zero-Shot Cross-Modal Retrieval (ZS-CMR) is an emerging research hotspot that aims to retrieve data of new classes across different modality data. It is challenging for not only the heterogeneous distributions across different modalities, but also the inconsistent semantics across seen and unseen ...
Zero-Shot Learning of Class Semantics via Temporal Attention 论文链接: [https://arxiv.org/abs/1809.00116] 概述: 这篇论文研究了如何利用视频中的动态信息进行ZSL。作者提出了一个基于时间注意力机制的模型,可以学习到类别的语义信息。 Learning Semantic Models for Cross-Modal Zero-Shot Sketch Data Retrieval...
Zero-Shot Cross Modal Retrieval Method Based on Deep Supervised Learning ZENG Sujia, Journal of Xi'an Jiaotong University, 2022 Neural scene representation and rendering S. M. Ali Eslami, Science, 2018 Adversarial Example Generation Method Based on Style Transfer Journal of Xi'an Jiaotong Univ...
Zero-Shot Learning of Class Semantics via Temporal Attention 论文链接: [https://arxiv.org/abs/1809.00116] 概述: 这篇论文研究了如何利用视频中的动态信息进行ZSL。作者提出了一个基于时间注意力机制的模型,可以学习到类别的语义信息。 Learning Semantic Models for Cross-Modal Zero-Shot Sketch Data Retrieval...
Zero-shot learning through cross-modal transfer[J]. Advances in neural information processing systems, 2013, 26. 1. 整体概要 这是多模态的一篇早年的paper,整体的工作就是来做图像识别,但其它的方式只是识别训练过的图像类别。一个例子就是区别是狗还是猫,当训练完模型后,再给一张狗的图像,就算是这个图像...
cross-modal hashing (CMH)image retrievalzero-shot hashing (ZSH)zero-shot learning (ZSL)Zero-shot hashing (ZSH) aims at learning a hashing model that is trained only by instances from seen categories but can generate well to those of unseen categories. Typically, it is ac...
Thus, the Zero-Shot Sketch Based Image Retrieval (ZS-SBIR) task introduced in this paper provides a more realistic setup for the sketch-based retrieval task. Towards this end, we propose a new benchmark for the ZS-SBIR task by cre- ating a careful split of the Sketchy database. We...
On cross-modal retrieval tasks, we have not observed as clear a benefit of the Lu setup compared to Uu or UU (Fig- ure 3). For very long tuning schedules, Uu or UU sometimes overtake Lu on these tasks. Our results suggest that the pro- posed Lu setup can still save...
Cross-modal hashing (CMH) is one of the most promising methods in cross-modal approximate nearest neighbor search. Most CMH solutions ideally assume the labels of training and testing set are identical. However, the assumption is often violated, causing a zero-shot CMH problem. Recent efforts to...
WAD-CMSN: Wasserstein distance-based cross-modal semantic network for zero-shot sketch-based image retrieval Zero-shot sketch-based image retrieval (ZSSBIR) aims at retrieving natural images given free hand-drawn sketches that may not appear during training. Previ... G Xu,Z Hu,J Cai - 《Inte...