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Models/MTUNet+WRN

MTUNet+WRN

Reported on 12 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 Vision12 results

Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2020-11-25
68.34
best: 89.94 (PT+MAP+SF+SOT (transductive))
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-11-25
71.93
best: 98.72 (SgVA-CLIP)
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-11-25
56.12
best: 97.95 (SgVA-CLIP)
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-11-25
62.42
best: 96.8 (CAML [Laion-2b])
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-11-25
80.05
best: 98.8 (CAML [Laion-2b])
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2020-11-25
82.93
best: 93.5 (CAML [Laion-2b])
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2020-11-25
68.34
best: 89.94 (PT+MAP+SF+SOT (transductive))
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-11-25
71.93
best: 98.72 (SgVA-CLIP)
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-11-25
56.12
best: 97.95 (SgVA-CLIP)
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-11-25
62.42
best: 96.8 (CAML [Laion-2b])
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-11-25
80.05
best: 98.8 (CAML [Laion-2b])
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2020-11-25
82.93
best: 93.5 (CAML [Laion-2b])
Match Them Up: Visually Explainable Few-shot Image Classification arXiv:2011.12527