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Zero-shot Classification (unified classes)
5 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28
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
5 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 (5 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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3 Oct 2023 6 repositories listed Syntology ran 7 of 14 samples · 7 unverifiedWe thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
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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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11 Jun 2024 2 repositories listed Syntology ran 5 of 6 samples · 1 unverifiedRecently, powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide.
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10 Oct 2023 2 repositories listed Syntology ran 1 of 2 samples · 1 unverifiedScaling up representations for images or text has been extensively investigated in the past few years and has led to revolutions in learning vision and language.
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15 Dec 2023 1 repository listedPrior studies on Remote Sensing Foundation Model (RSFM) reveal immense potential towards a generic model for Earth Observation.
Syntology lines on 4 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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