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A Novel Optimization Scheme for Named Entity Recognition with Pre-trained Language Models
Named Entity Recognition (NER) is crucial for extracting structured information from text. While traditional methods rely on rules, …
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Research on Audio Model Generation Technology Based on Hierarchical Federated Framework
This study focuses on the development of next-generation audio generation techniques, specifically through the construction of a …
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Melody Generation from Lyrics with Local Interpretability
Melody generation aims to learn the distribution of real melodies to generate new melodies conditioned on lyrics, which has been a very …
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Melody Generation from Lyrics with Local Interpretability
Vocal Melody Extraction via HRNet-Based Singing Voice Separation and Encoder-Decoder-Based F0 Estimation
Vocal melody extraction is an important and challenging task in music information retrieval. One main difficulty is that, most of the …
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Vocal Melody Extraction via HRNet-Based Singing Voice Separation and Encoder-Decoder-Based F0 Estimation
AUCseg: An Automatically Unsupervised Clustering Toolbox for 3D-Segmentation of High-Grade Gliomas in Multi-Parametric MR Images
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Grus: Toward Unified-memory-efficient High-performance Graph Processing on GPU
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Research on Singing Voice Detection Based on a Long-Term Recurrent Convolutional Network with Vocal Separation and Temporal Smoothing
Singing voice detection or vocal detection is a classification task that determines whether a given audio segment contains singing …
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Research on Singing Voice Detection Based on a Long-Term Recurrent Convolutional Network with Vocal Separation and Temporal Smoothing
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge
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A Deep Learning-Based Method for Vehicle License Plate Recognition in Natural Scene
Vehicle license platerecognition in natural scene is an important research topic in computer vision. The license plate recognition …
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Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks
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