https://github.com/OFA-Sys/ONE-PEACE
공식 코드ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Papers with Code 아카이브
Text to Audio Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TXH-mercury/VALOR
공식 코드VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
https://github.com/YannisBilly/Evaluation-of-pretrained-language-models-on-music-understanding
공식 코드Evaluation of pretrained language models on music understanding
https://github.com/akoepke/audio-retrieval-benchmark
공식 코드Audio Retrieval with Natural Language Queries: A Benchmark Study
https://github.com/ioanacroi/qb-norm
공식 코드https://github.com/line/lighthouse
공식 코드Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection
https://github.com/mulab-mir/song-describer-dataset
공식 코드The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
https://github.com/oncescuandreea/audio-retrieval
공식 코드https://github.com/opengvlab/internvideo
공식 코드InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
https://github.com/opengvlab/internvideo2
공식 코드InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
https://github.com/optimusprimus/dcase2023_task6b
공식 코드Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets
https://github.com/optimusprimus/salsa
공식 코드Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval
https://github.com/txh-mercury/vast
공식 코드VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
https://github.com/2023-MindSpore-1/ms-code-161
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
https://github.com/mindspore-ai/models/tree/master/research/mm/opt
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
https://github.com/modelscope/modelscope
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.