[PDF] Top 20 Ranking-Based Deep Cross-Modal Hashing
Has 10000 "Ranking-Based Deep Cross-Modal Hashing" found on our website. Below are the top 20 most common "Ranking-Based Deep Cross-Modal Hashing".
Ranking-Based Deep Cross-Modal Hashing
... Cross-modal hashing has been receiving increasing interests for its low storage cost and fast query speed in multi-modal data ...existing hashing methods are based on ... See full document
8
Adversarial Learning Based Semantic Correlation Representation for Cross-Modal Retrieval
... for cross-modal ...address cross-modal ...the cross-modal representations into a common subspace by ...Sparse Cross-view Correlation Analysis (CSCCA) to consider structure ... See full document
19
Self supervised Adversarial Hashing Cross modal Retrieval with Generative Models Based on Attention Mechanism
... the cross-modal retrieval task for the first time, the deep learning cross-modal model (CORR-AE) based on Auto Encoder is proposed, and the main idea is to use Auto Encoder ... See full document
5
Instance based Inductive Deep Transfer Learning by Cross Dataset Querying with Locality Sensitive Hashing
... solely based on the data that it is presented with during the train- ...sensitive hashing and then aug- mented into the model during training on the target ...proposed cross dataset learning pro- ... See full document
9
Deep Learning Search by Social Image Re ranking
... With the proliferation of digital photography and social media, recent years have witnessed an increase in the number of community-contributed images associated with rich contextual information such as user-provided ... See full document
6
Deep learning hashing for mobile visual search
... [53]. Hashing methods have been intensively stud- ied and widely used in many different fields, including computer graphics, computational geometry, telecommu- nication, computer vision, especially for mobile ... See full document
11
Kernelizing Semantic Similarity Measurement Using Bi directional Learning Ranking for Cross Modal Retrieval
... of cross-media information retrieval, analyzes the drawbacks of some existing classical retrieval methods, and compare different similarity measurement methods based on bidirectional learning ranking ... See full document
9
Multi-Modal Deep Learning to Understand Vision and Language
... Often samples have multiple overlapping categories which poses unique challenges for network architecture and loss functions. Vendrov et al. [146] used margin based ranking loss with order violation penalty ... See full document
139
Cross View Retrieval via Probability Based Semantics Preserving Hashing
... supervised cross-view hashing methods [26]– [39] can further exploit available supervised information like semantic labels or semantic affinities of training data for gain- ing further performance ... See full document
15
TUCH:Turning Cross view Hashing into Single view Hashing via Generative Adversarial Nets
... recently. Cross- view hashing is to efficiently solve the cross-view retrieval problem with binary hash ...on cross-view hashing exploit multi- view embedding method to tackle this ... See full document
7
Deep Robust Unsupervised Multi-Modal Network
... To verify the learned feature representations of our method, we examine the task of cross-modal retrieval. More specifically, given a text query, we aim to find images that are most relevant to it. For each ... See full document
8
Joint Image Text Hashing for Fast Large Scale Cross Media Retrieval Using Self Supervised Deep Learning
... unsupervised cross-modal hashing, which reconstructs the original features from the joint binary representation without considering the similarity ...end-to-end deep framework, where the ... See full document
9
Semantic Correlation based Deep Cross Modal Hashing for Faster Retrieval
... So deep based cross-modal hashing techniques are currently hot research topic where feature extraction as well as generation of the hash code can be achieved in the common ...framework. ... See full document
5
Attribute Guided Network for Cross Modal Zero Shot Hashing
... CENTLY, hashing-based multimedia retrieval approach- es have attracted a lot of attention, mainly owing to their fast retrieval speed and low storage cost [1], [2], ...supervised hashing [6], ... See full document
19
Cross modal Retrieval of Chinese CQA Based on CCA Algorithm
... of cross-modal information retrieval are also in an endless stream, in order to verify the performance and validity of the CCA-cross-modal retrieval model proposed in this paper for ... See full document
8
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
... efficiently. Cross- modal retrieval, which aims to search the images ...data. Hashing based cross-modal retrieval, mapping multi-modal data into compact binary codes and ... See full document
8
Mining Stack Overflow: a Recommender Systems-Based Model
... Abstract – In software development, developers received bug reports that describe the software bug. Developers find the cause of bug through reviewing the code and reproducing the abnormal behavior that can be considered ... See full document
11
Multi-modal learning using deep neural networks
... 22 can be expressed in the form of Euclidean distance between vector representations of these images. This vectorization of images is generally a vector representation from a fully connected layer of a CNN. The ... See full document
70
Fast distributed video deduplication via locality-sensitive hashing with similarity ranking
... matches. Based on this intuition, we refine the similarity met- ric between the query and dth database videos by con- sidering the temporal order of all possible pairs of two matched frames and simply summing the ... See full document
11
Effects of Multimodal Load on Spatial Monitoring as Revealed by ERPs
... vs. cross-modal) of the concurrent task, and requires, from very early phases of target processing, the recruitment of (right hemi- sphere) posterior areas devoted to spatial ... See full document
22
Related subjects