SemFew-Trans

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2023-11-30
86.49
best: 98.72 (SgVA-CLIP)
Simple Semantic-Aided Few-Shot Learning arXiv:2311.18649
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2023-11-30
78.94
best: 97.95 (SgVA-CLIP)
Simple Semantic-Aided Few-Shot Learning arXiv:2311.18649
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2023-11-30
86.49
best: 98.72 (SgVA-CLIP)
Simple Semantic-Aided Few-Shot Learning arXiv:2311.18649
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2023-11-30
78.94
best: 97.95 (SgVA-CLIP)
Simple Semantic-Aided Few-Shot Learning arXiv:2311.18649