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Models/Hyperbolic ProtoNet

Hyperbolic ProtoNet

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 ClassificationonCUB 200 5-way 5-shot
Accuracy· 2019-04-03
72.22
best: 98.7 (CAML [Laion-2b])
Hyperbolic Image Embeddings arXiv:1904.02239
Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2019-04-03
60.52
best: 95.8 (PT+MAP+SF+SOT (transductive))
Hyperbolic Image Embeddings arXiv:1904.02239
Image ClassificationonOMNIGLOT - 1-Shot, 5-way
Accuracy· 2019-04-03
99
best: 99.97 (MC2+)
Hyperbolic Image Embeddings arXiv:1904.02239
Image ClassificationonOMNIGLOT - 5-Shot, 5-way
Accuracy· 2019-04-03
99.4
best: 99.9 (MAML)
Hyperbolic Image Embeddings arXiv:1904.02239
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-04-03
66.27
best: 98.72 (SgVA-CLIP)
Hyperbolic Image Embeddings arXiv:1904.02239
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-04-03
51.57
best: 97.95 (SgVA-CLIP)
Hyperbolic Image Embeddings arXiv:1904.02239
Few-Shot Image ClassificationonCUB 200 5-way 5-shot
Accuracy· 2019-04-03
72.22
best: 98.7 (CAML [Laion-2b])
Hyperbolic Image Embeddings arXiv:1904.02239
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2019-04-03
60.52
best: 95.8 (PT+MAP+SF+SOT (transductive))
Hyperbolic Image Embeddings arXiv:1904.02239
Few-Shot Image ClassificationonOMNIGLOT - 1-Shot, 5-way
Accuracy· 2019-04-03
99
best: 99.97 (MC2+)
Hyperbolic Image Embeddings arXiv:1904.02239
Few-Shot Image ClassificationonOMNIGLOT - 5-Shot, 5-way
Accuracy· 2019-04-03
99.4
best: 99.9 (MAML)
Hyperbolic Image Embeddings arXiv:1904.02239
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-04-03
66.27
best: 98.72 (SgVA-CLIP)
Hyperbolic Image Embeddings arXiv:1904.02239
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-04-03
51.57
best: 97.95 (SgVA-CLIP)
Hyperbolic Image Embeddings arXiv:1904.02239