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Word Segmentation of Hiragana Sentences Using Hiragana BERT
Unlike Western languages, word segmentation is necessary for Japanese sentences because they do not have word boundaries. The performances of...
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Spoken word recognition using a novel speech boundary segment of voiceless articulatory consonants
Communication through speech offers the most straightforward channel for man-machine interaction. Nevertheless, it is a barrier for some languages...
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A privacy-preserving word embedding text classification model based on privacy boundary constructed by deep belief network
To effectively extract and classify the information from reports or documents and protect the privacy of the extracted results, we propose a privacy...
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Script independent text segmentation of document images using graph network based shortest path scheme
Document image processing is one of the growing research fields in the digital world for applications like data base indexing, text recognition,...
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Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation
Significant advances in weakly-supervised semantic segmentation (WSSS) methods with image-level labels have been made, but they have several key...
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Heuristic-based text segmentation of bilingual handwritten documents for Gurumukhi-Latin scripts
This paper focuses on the segmentation of unconstrained handwritten documents containing bilingual data at the word level. Most of the official...
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REBDT: A regular expression boundary-based decision tree model for Chinese logistics address segmentation
Chinese logistics address segmentation is a specific domain of the address resolution, which is very challenging due to language, culture, user...
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Only overlay text: novel features for TV news broadcast video segmentation
Segmentation of television news videos into programs and stories (after removing advertisements) is a necessary first step for news broadcast...
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Segmentation of 3d medical images for detection and classification of lung tumor using content-based features
Lung cancer is one of the most fatal types of lung disease, in which early detection of this cancer can prevent its dangerous consequences. This...
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Visual representations with texts domain generalization for semantic segmentation
At present, Domain generalization for semantic segmentation relying on deep neural networks has made little progress. Most of the current methods are...
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CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection
Recently, segmentation-based methods are quite popular in scene text detection, which mainly contain two steps: text kernel segmentation and...
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SegRewardGraph: unsupervised teaching video story segmentation method based on subtitle length-rewarding strategy and semantic relatedness graphs
Story segmentation plays an important role in hel** students quickly locate key knowledge points within massive and fragmented teaching video...
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AHMN: A multi-modal network for long MOOC videos chapter segmentation
This paper proposes a task named MOOC Videos Chapter Segmentation (MVCS) which is a significant problem in the field of video understanding. To solve...
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PrimitiveNet: decomposing the global constraints for referring segmentation
In referring segmentation, modeling the complicated constraints in the multimodal information is one of the most challenging problems. As the...
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Vision-Aware Language Reasoning for Referring Image Segmentation
Referring image segmentation is a multimodal joint task that aims to segment linguistically indicated objects from images in paired expressions and...
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Modeling Character–Word Interaction via a Novel Mesh Transformer for Chinese Event Detection
Chinese event detection (CED) often suffers from the problem of word-trigger mismatches due to the absence of natural delimiters in Chinese...
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Multiscale deep feature selection fusion network for referring image segmentation
Referring image segmentation has attracted extensive attention in recent years. Previous methods have explored the difficult alignment between visual...
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Line extraction in handwritten documents via instance segmentation
Extraction of text lines from handwritten document images is important for downstream text recognition tasks. It is challenging since handwritten...
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EfficientU-Net: A Novel Deep Learning Method for Breast Tumor Segmentation and Classification in Ultrasound Images
Segmentation and classification of breast tumors in ultrasound (US) images is an important application to deep neural networks. Unet architecture is...
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Text-Vision Relationship Alignment for Referring Image Segmentation
Referring image segmentation aims to segment object in an image based on a referring expression. Its difficulty lies in aligning expression semantics...
