Papers with Code · CC BY-SA 4.0

CIFAR-100-LT (ρ=50)

아카이브 평가 25건 · 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.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
LIFT (ViT-B/16, ImageNet-21K pre-training)	Error Rate 9.8	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18	코드 1
LPT	Error Rate 10	LPT: Long-tailed Prompt Tuning for Image Classification 2022-10-03	코드 1
VPT	Error Rate 15.2	Visual Prompt Tuning 2022-03-23	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
LIFT (ViT-B/16, CLIP)	Error Rate 16.9	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18	코드 1
GLMC + SAM	Error Rate 34.72	Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data 2022-12-28	코드 1
GLMC (ResNet-34, channel x4)	Error Rate 36.15	Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions 2023-05-15	코드 1 · 코드 2
SURE(ResNet-32)	Error Rate 36.87	SURE: SUrvey REcipes for building reliable and robust deep networks 2024-03-01	코드 1
DeiT-LT	Error Rate 39.5	DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets 2024-04-03	코드 1 · 코드 2
MDCS	Error Rate 39.9	MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition 2023-08-19	코드 1
OPeN (WideResNet-28-10)	Error Rate 40.2	Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images 2021-12-16	코드 1
GML (ResNet-32)	Error Rate 41.9	Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels 2023-05-02	코드 1
PC	Error Rate 42.25	Learning Prototype Classifiers for Long-Tailed Recognition 2023-02-01	코드 1
LTR-weight-balancing	Error Rate 42.29	Long-Tailed Recognition via Weight Balancing 2022-03-27	코드 1 · 코드 2
ConCutMix	Error Rate 42.6	Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation 2024-07-06	코드 1 · 코드 2
Difficulty-Net	Error Rate 43.1	Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition 2022-09-07	코드 1
NCL(ResNet32)	Error Rate 43.2	Nested Collaborative Learning for Long-Tailed Visual Recognition 2022-03-29	코드 1
BCL(ResNet-32)	Error Rate 43.4	Balanced Contrastive Learning for Long-Tailed Visual Recognition 2022-07-19	코드 1
TADE	Error Rate 46.1	Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20	코드 1 · 코드 2
GCL	Error Rate 46.4	Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment 2023-05-19	코드 1
MiSLAS	Error Rate 47.7	Improving Calibration for Long-Tailed Recognition 2021-04-01	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
MetaSAug-LDAM	Error Rate 47.73	MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition 2021-03-23	코드 1
CBD+TailCalibX	Error Rate 49.1	Feature Generation for Long-tail Classification 2021-11-10	코드 1
Hybrid-PSC	Error Rate 51.07	Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification 2021-03-26	연결 없음
LDAM-DRW-RSG	Error Rate 51.5	RSG: A Simple but Effective Module for Learning Imbalanced Datasets 2021-06-18	코드 1
LDAM-DRW + SSP	Error Rate 52.89	Rethinking the Value of Labels for Improving Class-Imbalanced Learning 2020-06-13	코드 1