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Genre classification
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Genre classification is the process of grouping objects together based on defined similarities such as shape, pixel, location, or intensity.
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Recognizing Ornaments in Vocal Indian Art Music with Active Annotation
An Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Progressive Rock Music Classification
Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning
BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
EVolutionary Independent DEtermiNistiC Explanation
Multi-label Cross-lingual automatic music genre classification from lyrics with Sentence BERT
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection
Music Genre Classification: Ensemble Learning with Subcomponents-level Attention
Attention-guided Spectrogram Sequence Modeling with CNNs for Music Genre Classification
Audio Processing using Pattern Recognition for Music Genre Classification
Unraveling Movie Genres through Cross-Attention Fusion of Bi-Modal Synergy of Poster
Movie Trailer Genre Classification Using Multimodal Pretrained Features
Music Genre Classification using Large Language Models
Do Music Generation Models Encode Music Theory?
The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
Benchmarking Sub-Genre Classification For Mainstage Dance Music
Exploring Genre and Success Classification through Song Lyrics using DistilBERT: A Fun NLP Venture
Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization
Music Genre Classification: Training an AI model
Music Genre Classification: A Comparative Analysis of CNN and XGBoost Approaches with Mel-frequency cepstral coefficients and Mel Spectrograms
Panel Transitions for Genre Analysis in Visual Narratives
BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification
Towards Automated Recipe Genre Classification using Semi-Supervised Learning
Pre-training Music Classification Models via Music Source Separation
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning
Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture
Towards Contrastive Learning in Music Video Domain
Music Genre Classification with ResNet and Bi-GRU Using Visual Spectrograms
PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas
Modality Influence in Multimodal Machine Learning
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning
Multi-Source Contrastive Learning from Musical Audio
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