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Models/BAVARDAGE

BAVARDAGE

Reported on 32 benchmarks across 2 tasks · 1 paper · 14 SOTA

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

Computer Vision32 results

Image ClassificationonDirichlet Mini-Imagenet (5-way, 5-shot)
1:1 Accuracy· 2022-09-18
83.6
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonDirichlet CUB-200 (5-way, 1-shot)
1:1 Accuracy· 2022-09-18
82
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonDirichlet Mini-Imagenet (5-way, 1-shot)
1:1 Accuracy· 2022-09-18
71
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonDirichlet CUB-200 (5-way, 5-shot)
1:1 Accuracy· 2022-09-18
90.7
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2022-09-18
70.6
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonDirichlet Tiered-Imagenet (5-way, 1-shot)
1:1 Accuracy· 2022-09-18
76.6
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2022-09-18
57.27
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonDirichlet Mini-Imagenet (5-way, 5-shot)
1:1 Accuracy· 2022-09-18
83.6
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonDirichlet CUB-200 (5-way, 1-shot)
1:1 Accuracy· 2022-09-18
82
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonDirichlet Mini-Imagenet (5-way, 1-shot)
1:1 Accuracy· 2022-09-18
71
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonDirichlet CUB-200 (5-way, 5-shot)
1:1 Accuracy· 2022-09-18
90.7
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonFC100 5-way (5-shot)
Accuracy· 2022-09-18
70.6
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonDirichlet Tiered-Imagenet (5-way, 1-shot)
1:1 Accuracy· 2022-09-18
76.6
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonFC100 5-way (1-shot)
Accuracy· 2022-09-18
57.27
SOTA
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonCUB 200 5-way 5-shot
Accuracy· uses extra data· 2022-09-18
93.5
best: 98.7 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2022-09-18
90.42
best: 95.8 (PT+MAP+SF+SOT (transductive))
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2022-09-18
87.35
best: 89.94 (PT+MAP+SF+SOT (transductive))
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonDirichlet Tiered-Imagenet (5-way, 5-shot)
1:1 Accuracy· 2022-09-18
86.5
best: 86.6 (\alpha-TIM)
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2022-09-18
91.65
best: 98.72 (SgVA-CLIP)
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2022-09-18
84.8
best: 97.95 (SgVA-CLIP)
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2022-09-18
85.2
best: 96.8 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2022-09-18
90.41
best: 98.8 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2022-09-18
90.63
best: 93.5 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· uses extra data· 2022-09-18
93.5
best: 98.7 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2022-09-18
90.42
best: 95.8 (PT+MAP+SF+SOT (transductive))
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
Accuracy· 2022-09-18
87.35
best: 89.94 (PT+MAP+SF+SOT (transductive))
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonDirichlet Tiered-Imagenet (5-way, 5-shot)
1:1 Accuracy· 2022-09-18
86.5
best: 86.6 (\alpha-TIM)
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2022-09-18
91.65
best: 98.72 (SgVA-CLIP)
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2022-09-18
84.8
best: 97.95 (SgVA-CLIP)
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2022-09-18
85.2
best: 96.8 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2022-09-18
90.41
best: 98.8 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527
Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
Accuracy· 2022-09-18
90.63
best: 93.5 (CAML [Laion-2b])
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification arXiv:2209.08527