Transductive Zero-Shot Classification
2 papers with code • 14 benchmarks • 14 datasets
Zero-shot classification in the transductive setup where all test images are jointly available.
Benchmarks
These leaderboards are used to track progress in Transductive Zero-Shot Classification
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Datasets
CIFAR-10
ImageNet
CIFAR-100
CUB-200-2011
UCF101
Oxford 102 Flower
DTD
Stanford Cars
Food-101
Caltech-101
Most implemented papers
Label Propagation for Zero-shot Classification with Vision-Language Models
vladan-stojnic/zlap
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CVPR 2024
We leverage the graph structure of the unlabeled data and introduce ZLaP, a method based on label propagation (LP) that utilizes geodesic distances for classification.
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
We investigate their effectiveness for NLP tasks in low-resource languages (LRLs), especially in the setting of zero-labelled cross-lingual transfer (0-CLT), where no labelled training data for the target language is available -- however training data from one or more related medium-resource languages (MRLs) is utilized, alongside the available unlabeled test data for a target language.
