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Models/ICI

ICI

Reported on 16 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision16 results

Image ClassificationonCUB 200 5-way 5-shot
Accuracy· uses extra data· 2020-03-26
92.48
best: 98.7 (CAML [Laion-2b])
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2020-03-26
89.58
best: 95.8 (PT+MAP+SF+SOT (transductive))
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-03-26
84.01
best: 96.8 (CAML [Laion-2b])
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-03-26
89
best: 98.8 (CAML [Laion-2b])
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· uses extra data· 2020-03-26
92.48
best: 98.7 (CAML [Laion-2b])
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2020-03-26
89.58
best: 95.8 (PT+MAP+SF+SOT (transductive))
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2020-03-26
84.01
best: 96.8 (CAML [Laion-2b])
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2020-03-26
89
best: 98.8 (CAML [Laion-2b])
SOTA
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2020-03-26
76.51
best: 89.94 (PT+MAP+SF+SOT (transductive))
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-03-26
80.11
best: 98.72 (SgVA-CLIP)
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-03-26
69.66
best: 97.95 (SgVA-CLIP)
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2020-03-26
84.32
best: 93.5 (CAML [Laion-2b])
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2020-03-26
76.51
best: 89.94 (PT+MAP+SF+SOT (transductive))
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2020-03-26
80.11
best: 98.72 (SgVA-CLIP)
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2020-03-26
69.66
best: 97.95 (SgVA-CLIP)
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2020-03-26
84.32
best: 93.5 (CAML [Laion-2b])
Instance Credibility Inference for Few-Shot Learning arXiv:2003.11853