Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/BECLR

BECLR

Reported on 8 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 Vision8 results

Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2024-02-04
87.86
best: 98.8 (CAML [Laion-2b])
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2024-02-04
80.57
best: 97.95 (SgVA-CLIP)
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2024-02-04
81.69
best: 96.8 (CAML [Laion-2b])
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2024-02-04
87.82
best: 98.72 (SgVA-CLIP)
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
Accuracy· 2024-02-04
87.86
best: 98.8 (CAML [Laion-2b])
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2024-02-04
80.57
best: 97.95 (SgVA-CLIP)
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
Accuracy· 2024-02-04
81.69
best: 96.8 (CAML [Laion-2b])
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2024-02-04
87.82
best: 98.72 (SgVA-CLIP)
BECLR: Batch Enhanced Contrastive Few-Shot Learning arXiv:2402.02444