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Central Attention with Multi-Graphs for Image Annotation
In recent decades, the development of multimedia and computer vision has sparked significant interest among researchers in the field of automatic...
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Improving loss function for deep convolutional neural network applied in automatic image annotation
Automatic image annotation (AIA) is a mechanism for describing the visual content of an image with a list of semantic labels. Typically, there is a...
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Suggesting an Integration System for Image Annotation
The number of digital images uploaded in the virtual world is rapidly growing every day. Therefore, an automatic image annotation system that can...
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Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation
Graph neural networks’ application in automatic image annotation is becoming more mature. However, there are still several problems. First, the...
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Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios
Active learning (AL) algorithms are increasingly being used to train models with limited data for annotation tasks. However, the selection of data...
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Image annotation of ancient chinese architecture based on visual attention mechanism and GCN
Ancient Chinese architecture(ACA), especially like roof ridge decoration, vividly exhibits Chinese civilization and the typical, accurate image...
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Toward real-time image annotation using marginalized coupled dictionary learning
In most image retrieval systems, images include various high-level semantics, called tags or annotations. Virtually all the state-of-the-art image...
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An Intelligent Image Segmentation Annotation Method Based on Segment Anything Model
Training of supervised neural network models requires a large amount of high-quality datasets with true values. In computer vision tasks such as...
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Adaptive image annotation: refining labels according to contents and relations
Image annotation has been an active research in computer vision. Most of the prior research works focus on annotating images with fixed number of...
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Transformer-Based Annotation Bias-Aware Medical Image Segmentation
Manual medical image segmentation is subjective and suffers from annotator-related bias, which can be mimicked or amplified by deep learning methods....
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Multi-graph Laplacian Feature Map** Incorporating Tag Information for Image Annotation
Automatic image annotation has exerted a tremendous fascination of many researchers with the development of multimedia and computer vision. However,...
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A Critical Analysis of Learning Approaches for Image Annotation Based on Semantic Correlation
Automatic Image Annotation (AIA) is a critical research topic and plays an important role in image retrieval. Recently, AIA approaches are focused to...
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A Diverse Environment Coal Gangue Image Segmentation Model Combining Improved U-Net and Semi-supervised Automatic Annotation
The problem of uneven illumination in the coal gangue image and the existence of fine coal gangue reduces the accuracy of the coal gangue location,...
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An efficient weakly semi-supervised method for object automated annotation
Object annotation is essential for computer vision tasks, and more high-quality annotated data can effectively improve the performance of vision...
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3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks
Medical image segmentation typically necessitates a large and precisely annotated dataset. However, obtaining pixel-wise annotation is a...
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Interactive object annotation based on one-click guidance
Due to the large workload of manual annotation of datasets, uneven data quality and high professional thresholds have been a problem. Based on the...
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Efficient Annotation of Medieval Charters
Diplomatics, the analysis of medieval charters, is a major field of research in which paleography is applied. Annotating data, if performed by...
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Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey
In this survey, we present a systematic review of 3D hand pose estimation from the perspective of efficient annotation and learning. 3D hand pose...
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Automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networks
This paper investigates the issues in image annotation, which automatically assigns appropriate tags to a given image describing its content the...
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Sequential interactive image segmentation
Interactive image segmentation (IIS) is an important technique for obtaining pixel-level annotations. In many cases, target objects share similar...
