Papers with Code · CC BY-SA 4.0

CIFAR-10-LT (ρ=100)

아카이브 평가 28건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

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원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
GLMC+MaxNorm (ResNet-34, channel x4)	Error Rate 10.42	Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions 2023-05-15	코드 1 · 코드 2
GLMC + SAM	Error Rate 10.82	Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data 2022-12-28	코드 1
LPT	Error Rate 10.9	LPT: Long-tailed Prompt Tuning for Image Classification 2022-10-03	코드 1
GLMC (ResNet-34, channel x4)	Error Rate 11.50	Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions 2023-05-15	코드 1 · 코드 2
DeiT-LT	Error Rate 12.5	DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets 2024-04-03	코드 1 · 코드 2
SURE(ResNet-32)	Error Rate 13.07	SURE: SUrvey REcipes for building reliable and robust deep networks 2024-03-01	코드 1
VS + ADRW + TLA	Error Rate 13.58	A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code 2023-10-07	코드 1
OPeN (WideResNet-28-10)	Error Rate 13.9	Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images 2021-12-16	코드 1
ConCutMix	Error Rate 13.93	Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation 2024-07-06	코드 1 · 코드 2
SimSiam+rwSAM	Error Rate 14.4	Self-supervised Learning is More Robust to Dataset Imbalance 2021-10-11	코드 1
NCL(ResNet32)	Error Rate 15.3	Nested Collaborative Learning for Long-Tailed Visual Recognition 2022-03-29	코드 1
NCL* + WGCC (ensemble)	Error Rate 15.4	Weight-guided class complementing for long-tailed image recognition 2023-02-03	연결 없음
TADE	Error Rate 16.2	Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20	코드 1 · 코드 2
DirMixE	Error Rate 16.74	Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition 2024-05-13	코드 1
GCL	Error Rate 17.32	Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment 2023-05-19	코드 1
FBL (ResNet-32)	Error Rate 17.54	Feature-Balanced Loss for Long-Tailed Visual Recognition 2023-05-18	코드 1
VS + SAM	Error Rate 17.6	Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data 2022-12-28	코드 1
MiSLAS	Error Rate 17.9	Improving Calibration for Long-Tailed Recognition 2021-04-01	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
ACE (4 experts)	Error Rate 18.6	ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot 2021-08-05	연결 없음
MetaSAug-LDAM	Error Rate 19.34	MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition 2021-03-23	코드 1
TLC (4 experts)	Error Rate 19.6	Trustworthy Long-Tailed Classification 2021-11-17	코드 1 · 코드 2
smDRAGON	Error Rate 20.37	From Generalized zero-shot learning to long-tail with class descriptors 2020-04-05	코드 1
CE+DRS+GIT	Error Rate 21.24	Do Deep Networks Transfer Invariances Across Classes? 2022-03-18	코드 1
TSC(ResNet-32)	Error Rate 21.3	Targeted Supervised Contrastive Learning for Long-Tailed Recognition 2021-11-27	코드 1
ELP	Error Rate 22	A Simple Episodic Linear Probe Improves Visual Recognition in the Wild 2022-01-01	코드 1 · 코드 2
LDAM-DRW + SSP	Error Rate 22.17	Rethinking the Value of Labels for Improving Class-Imbalanced Learning 2020-06-13	코드 1
LDAM-DRW	Error Rate 22.97	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss 2019-06-18	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7
ETF Classifier + DR (Resnet)	Error Rate 23.5	Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? 2022-03-17	코드 1