SOTAVerified

Genre classification

Genre classification is the process of grouping objects together based on defined similarities such as shape, pixel, location, or intensity.

Papers

Showing 1120 of 130 papers

TitleStatusHype
S3T: Self-Supervised Pre-training with Swin Transformer for Music ClassificationCode1
Towards Tokenized Human Dynamics RepresentationCode1
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram FeaturesCode1
MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classificationCode1
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence ModelsCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
Multimodal Weighted Fusion of Transformers for Movie Genre ClassificationCode1
Enriched Music Representations with Multiple Cross-modal Contrastive LearningCode1
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
Gated Multimodal Units for Information FusionCode1
Show:102550
← PrevPage 2 of 13Next →

No leaderboard results yet.