Browse State-of-the-Art › Speech Prompted Semantic Segmentation
Speech Prompted Semantic Segmentation
3 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
Speech prompted semantic segmentation aims to predict semantic segments in an image from audio of a speaker saying the class or segment name
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ADE20K (4 rows) | DenseAV | Separating the "Chirp" from the "Chat": Self-supervised Visual... | code | Syntology ran 2 of 3 samples · 1 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
1 dataset 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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
3 shown of 3 papers with code (4 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.
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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.
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9 Jun 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverifiedWe show that DenseAV can discover the ``meaning'' of words and the ``location'' of sounds without explicit localization supervision.
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2 Oct 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedIn this paper, we first extend the recent Masked Auto-Encoder (MAE) model from a single modality to audio-visual multi-modalities.
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.
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