Search
Search Results
-
Multiple description coding network based on semantic segmentation
Considering semantic information in the image compression can prominently improve the quality of synthesized image. In this paper, we propose a...
-
Joint semantic embedding with structural knowledge and entity description for knowledge representation learning
Previous works mainly employ triple structural information in learning representations for knowledge graph, which results in poor performance of link...
-
A Clustering Validation Index Based on Semantic Description
In clustering problems where the objective is not based on specifically spatial proximity, but rather on feature patterns and the semantic...
-
Person Quick-Search Approach Based on a Facial Semantic Attributes Description
Person search based on semantic attributes description presents an interest task for intelligent video surveillance applications. The main objective...
-
Visual-semantic network: a visual and semantic enhanced model for gesture recognition
Gesture recognition has attracted considerable attention and made encouraging progress in recent years due to its great potential in applications....
-
Visual and language semantic hybrid enhancement and complementary for video description
It is a fundamental task of computer vision to describe and express the visual content of a video in natural language, which not only highly...
-
Towards photorealistic face generation using text-guided Semantic-Spatial FaceGAN
In this paper, we propose a simple yet effective Text-To-Face (T2F) generative adversarial network named Semantic-Spatial FaceGAN, which addresses...
-
Learning semantic ambiguities for zero-shot learning
Zero-shot learning (ZSL) aims at recognizing classes for which no visual sample is available at training time. To address this issue, one can rely on...
-
VMSG: a video caption network based on multimodal semantic grou** and semantic attention
Network video typically contains a variety of information that is used by the video caption model to generate video tags. The process of creating...
-
Fine-grained semantic textual similarity measurement via a feature separation network
Semantic text similarity (STS), which measures the semantic similarity of sentences, is an important task in the field of NLP. It has a wide range of...
-
An efficient ir approach based semantic segmentation
Content Based Image Retrieval (CBIR) is the task of finding similar images from a query one. The state of the art mentions two main methods to solve...
-
Semantic matching in GUI test reuse
Reusing test cases across apps that share similar functionalities reduces both the effort required to produce useful test cases and the time to offer...
-
Multi-level video captioning method based on semantic space
Video captioning is designed to generate natural language descriptions based on video content. Traditional methods extract visual features and...
-
Reac4Cat-Ontology: Harnessing the Power of Ontological Description Logic in Catalysis Research as a Practical Approach to Knowledge Inferences
Maximizing the use of digitally captured data is a key requirement for many of the late adopters of digital infrastructure. One of the newcomers is...
-
Deep semantic segmentation-based multiple description coding
In this paper, we propose a deep semantic segmentation-based multiple description coding (DSSMDC). In the proposed scheme, the input image is divided...
-
Multi-view and region reasoning semantic enhancement for image-text retrieval
Image and text retrieval is a crucial topic in the fields of language and vision. The key to successful Image-Text retrieval is achieving accurate...
-
Transformer model incorporating local graph semantic attention for image caption
Aiming at the problem of isolating semantic information of existing transformer-based models in the image captioning tasks, a transformer model...
-
HHSE: heterogeneous graph neural network via higher-order semantic enhancement
Heterogeneous graph representation learning has strong expressiveness when dealing with large-scale relational graph data, and its purpose is to...
-
Structured Encoding Based on Semantic Disambiguation for Video Captioning
Video captioning, which aims to automatically generate video captions, has gained significant attention due to its wide range of applications in...
-
Fractional cross entropy-based loss function for classification of IoT services with semantic graph based on IFTTT recipes
Recently, learning through multi-classifiers is of huge interest in economic as well as industrial domains. In addition, the neural network becomes...
