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Cross-Domain Few-Shot datasets

archive 2025-07-28

6 datasets carry the task tag "Cross-Domain Few-Shot" (the task itself: Cross-Domain Few-Shot), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Cross-Domain Few-Shot datasets 1–6 of 6

CUB-200-2011 (Caltech-UCSD Birds-200-2011)
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task.
2,235 papers · 47 benchmarks
The Places dataset is proposed for scene recognition and contains more than 2.5 million images covering more than 205 scene categories with more than 5,000 images per category.
1,151 papers · 4 benchmarks
Eurosat is a dataset and deep learning benchmark for land use and land cover classification.
687 papers · 8 benchmarks
The Places205 dataset is a large-scale scene-centric dataset with 205 common scene categories.
525 papers · 1 benchmark
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images WITH the advancement in sensor technology, huge amounts of data are being collected from various satellites.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.