RAC (ViT-B-16)

Reported on 5 benchmarks across 5 tasks · 1 paper

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

Methodology3 results

Generalized Few-Shot ClassificationonPlaces-LT
Top-1 Accuracy· 2022-02-22
47.17
best: 53.7 (LIFT (ViT-L/14))
Retrieval Augmented Classification for Long-Tail Visual Recognition arXiv:2202.11233
Long-tail LearningonPlaces-LT
Top-1 Accuracy· 2022-02-22
47.17
best: 53.7 (LIFT (ViT-L/14))
Retrieval Augmented Classification for Long-Tail Visual Recognition arXiv:2202.11233
Generalized Few-Shot LearningonPlaces-LT
Top-1 Accuracy· 2022-02-22
47.17
best: 53.7 (LIFT (ViT-L/14))
Retrieval Augmented Classification for Long-Tail Visual Recognition arXiv:2202.11233

Computer Vision2 results

Image ClassificationonPlaces-LT
Top-1 Accuracy· 2022-02-22
47.17
best: 53.7 (LIFT (ViT-L/14))
Retrieval Augmented Classification for Long-Tail Visual Recognition arXiv:2202.11233
Few-Shot Image ClassificationonPlaces-LT
Top-1 Accuracy· 2022-02-22
47.17
best: 53.7 (LIFT (ViT-L/14))
Retrieval Augmented Classification for Long-Tail Visual Recognition arXiv:2202.11233