Papers with Code 아카이브
Text to Audio Retrieval
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Do Audio-Language Models Understand Linguistic Variations?
The language of sound search: Examining User Queries in Audio Search Engines
Language-based Audio Moment Retrieval
Evaluation of pretrained language models on music understanding
Dissecting Temporal Understanding in Text-to-Audio Retrieval
Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval
Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
Data leakage in cross-modal retrieval training: A case study
Exploring Train and Test-Time Augmentations for Audio-Language Learning
Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval
Cross Modal Retrieval with Querybank Normalisation
Audio Retrieval with Natural Language Queries: A Benchmark Study
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
Audio Retrieval with Natural Language Queries
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.