Browse State-of-the-Art › GZSL Video Classification
GZSL Video Classification
3 papers with code · 6 benchmarks · 1 dataset archive 2025-07-28
Audio-visual zero-shot learning aims to recognize unseen categories based on paired audio-visual sequences.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 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 |
|---|---|---|---|---|---|
| ActivityNet-GZSL(main) (7 rows) | KDA | Boosting Audio-visual Zero-shot Learning with Large Language Models | code | — | Compare |
| UCF-GZSL(main) (7 rows) | KDA | Boosting Audio-visual Zero-shot Learning with Large Language Models | code | — | Compare |
| VGGSound-GZSL(main) (7 rows) | KDA | Boosting Audio-visual Zero-shot Learning with Large Language Models | code | — | Compare |
| ActivityNet-GZSL (cls) (4 rows) | KDA | Boosting Audio-visual Zero-shot Learning with Large Language Models | code | — | Compare |
| UCF-GZSL (cls) (4 rows) | KDA | Boosting Audio-visual Zero-shot Learning with Large Language Models | code | — | Compare |
| VGGSound-GZSL (cls) (4 rows) | KDA | Boosting Audio-visual Zero-shot Learning with Large Language Models | code | — | 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 (7 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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20 Jul 2022 2 repositories listedWe show that our proposed framework that ingests temporal features yields state-of-the-art performance on the \ucf, \vgg, and \activity benchmarks for (generalised) zero-shot learning.
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21 Nov 2023 1 repository listedRecent methods mainly focus on learning multi-modal features aligned with class names to enhance the generalization ability to unseen categories.
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7 Mar 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverifiedFocusing on the relatively underexplored task of audio-visual zero-shot learning, we propose to learn multi-modal representations from audio-visual data using cross-modal attention and exploit textual label embeddings…
Syntology lines on 1 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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