Transfer Learning
Transferring knowledge between tasks and domains.
1
Datasets
2
Results
mean_accuracy
Canonical metric
Canonical Benchmark
VTAB-1k
Canonical transfer-learning benchmark covering 19 diverse vision tasks (natural, specialized, structured). Each task provides only 1000 labeled examples to test how well pretrained representations transfer to new domains with limited data.
Primary metric: mean_accuracy
Top 10
Leading models on VTAB-1k.
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All datasets
1 dataset tracked for this task.
Related tasks
Other tasks in Methodology.
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