methodology-12
Long-tail Learning
3260 papers • 126 benchmarks • 313 datasets
Long-tailed learning, one of the most challenging problems in visual recognition, aims to train well-performing models from a large number of images that follow a long-tailed class distribution.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in long-tail-learning-36
Trend
Dataset
Best Model
Actions
ImageNet-LT
ImageNet-LT
CIFAR-100-LT (ρ=100)
CIFAR-100-LT (ρ=100)
CIFAR-10-LT (ρ=10)
Libraries
iUse these libraries to find long-tail-learning-36 models and implementations
