Zero-shot Text to Audio Retrieval

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
  3 Oct 2023 6 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
• ImageBind: One Embedding Space To Bind Them All
  9 May 2023 3 repositories listed Syntology ran 24 of 34 samples · 10 unverified · 32 pointer-only (licence)
  We show that all combinations of paired data are not necessary to train such a joint embedding, and only image-paired data is sufficient to bind the modalities together.
• WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
  30 Mar 2023 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  To address this data scarcity issue, we introduce WavCaps, the first large-scale weakly-labelled audio captioning dataset, comprising approximately 400k audio clips with paired captions.
• InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
  22 Mar 2024 2 repositories listed
  We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialogue.
• VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
  17 Apr 2023 1 repository listed
  Different from widely-studied vision-language pretraining models, VALOR jointly models relationships of vision, audio and language in an end-to-end manner.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.