Long Tail Learning On Places Lt

Top-1 Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Top-1 Accuracy
learning-from-multiple-experts-self-paced	36.2
inflated-episodic-memory-with-region-self	39.7
distribution-alignment-a-unified-framework	39.3
pure-noise-to-the-rescue-of-insufficient-data	40.5
a-simple-long-tailed-recognition-baseline-via	49.5
vl-ltr-learning-class-wise-visual-linguistic	48.0
long-tailed-recognition-using-class-balanced	38.9
parameter-efficient-long-tailed-recognition	53.7
rethinking-class-balanced-methods-for-long	30.8
balanced-meta-softmax-for-long-tailed-visual	38.7
a-simple-long-tailed-recognition-baseline-via	47.9
adaptive-parametric-activation	42.0
parameter-efficient-long-tailed-recognition	52.2
rsg-a-simple-but-effective-module-for	39.3
vl-ltr-learning-class-wise-visual-linguistic	50.1
a-simple-long-tailed-recognition-baseline-via	49.3
a-simple-long-tailed-recognition-baseline-via	46.5
generalized-parametric-contrastive-learning	41.7
improving-image-recognition-by-retrieving	51.4
retrieval-augmented-classification-for-long	47.17
test-agnostic-long-tailed-recognition-by-test	41.3
disentangling-label-distribution-for-long	38.8
parametric-contrastive-learning	41.2
difficulty-net-learning-to-predict-difficulty	41.7
large-scale-long-tailed-recognition-in-an	34.1
decoupling-representation-and-classifier-for	37.6
feature-space-augmentation-for-long-tailed	36.4
nested-collaborative-learning-for-long-tailed	41.5
long-tail-learning-with-attributes	38.1