https://github.com/AMAAI-Lab/megamusicaps
공식 코드MIRFLEX: Music Information Retrieval Feature Library for Extraction
Papers with Code 아카이브
Instrument Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Alexuan/musical_instrument_embedding
공식 코드https://github.com/Audio-WestlakeU/audiossl/tree/main/audiossl/methods/atst
공식 코드ATST: Audio Representation Learning with Teacher-Student Transformer
https://github.com/CAMMA-public/ConvLSTM-Surgical-Tool-Tracker
공식 코드Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
https://github.com/DebeshJha/Kvasir-Instrument
공식 코드https://github.com/DebeshJha/NanoNet
공식 코드NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
https://github.com/SiddGururani/AttentionMIC
공식 코드https://github.com/YannisBilly/i_can_listen_but_cannot_read
공식 코드https://github.com/agelosk/Instrument_Classification_Paper
공식 코드Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
https://github.com/audio-westlakeu/audiossl
공식 코드Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
https://github.com/cardio-ai/endovis-ml
공식 코드Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
https://github.com/changhongw/audio-embedding-bias
공식 코드Transfer Learning and Bias Correction with Pre-trained Audio Embeddings
https://github.com/cpjku/efficientleaf
공식 코드EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
https://github.com/fschmid56/efficientat
공식 코드Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models
https://github.com/glennq/instrument-recognition
공식 코드Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks
https://github.com/haoranweiutd/chmusic
공식 코드ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition
https://github.com/hugofloresgarcia/music-trees
공식 코드Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition
https://github.com/kkoutini/cpjku_dcase20
공식 코드https://github.com/kkoutini/passt
공식 코드https://github.com/kwatcharasupat/query-bandit
공식 코드A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
https://github.com/seon82/musedetect
공식 코드A Hierarchical Deep Learning Approach for Minority Instrument Detection
https://github.com/suncerock/EAsT-music-classification
공식 코드https://github.com/vntkumar8/musical-instrument-classification
공식 코드Predominant Musical Instrument Classification based on Spectral Features
https://github.com/2023-MindSpore-4/Code8/tree/main/ats
ATST: Audio Representation Learning with Teacher-Student Transformer
https://github.com/2024-MindSpore-1/Code6/tree/main/ats
ATST: Audio Representation Learning with Teacher-Student Transformer
https://github.com/Audio-WestlakeU/ATST-SED
ATST: Audio Representation Learning with Teacher-Student Transformer
https://github.com/aurianworld/matpac
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
https://github.com/iooops/CS221-Audio-Tagging
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
https://github.com/kkoutini/passt_hear21
https://github.com/nttcslab/eval-audio-repr
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
https://github.com/nttcslab/m2d
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
https://github.com/reshalfahsi/NanoNet
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
https://github.com/reshalfahsi/NanoNet-PyTorch
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.