← Long-tail Learning
Papers with Code · CC BY-SA 4.0

CIFAR-10-LT (ρ=10)

아카이브 평가 50건 · 마지막 적재/변경

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
모델원본 지표·값논문구현
GLMC+MaxNorm (ResNet-34, channel x4)
Error Rate
5
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
2023-05-15
코드 1 · 코드 2
SURE(ResNet-32)
Error Rate
5.04
SURE: SUrvey REcipes for building reliable and robust deep networks
2024-03-01
코드 1
GLMC (ResNet-34, channel x4)
Error Rate
5.15
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
2023-05-15
코드 1 · 코드 2
3LSSL
Error Rate
7.9
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
2023-02-07
연결 없음
ResCom
Error Rate
8.0
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
2022-03-22
코드 1 · 코드 2
VS + ADRW + TLA
Error Rate
8.18
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code
2023-10-07
코드 1
Balanced Softmax (BALMS)
Error Rate
8.7
Balanced Meta-Softmax for Long-Tailed Visual Recognition
2020-07-21
코드 1
ViT-B + Bal-BCE
Error Rate
8.7
Learning Imbalanced Data with Vision Transformers
2022-12-05
코드 1
LCReg
Error Rate
8.8
Long-tailed Recognition by Learning from Latent Categories
2022-06-02
연결 없음
BCL(ResNet-32)
Error Rate
8.9
Balanced Contrastive Learning for Long-Tailed Visual Recognition
2022-07-19
코드 1
Hybrid-SC
Error Rate
8.9
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
2021-03-26
연결 없음
LWS
Error Rate
8.9
Decoupling Representation and Classifier for Long-Tailed Recognition
2019-10-21
코드 1 · 코드 2 · 코드 3 · 코드 4
cRT
Error Rate
9.0
Decoupling Representation and Classifier for Long-Tailed Recognition
2019-10-21
코드 1 · 코드 2 · 코드 3 · 코드 4
PCL
Error Rate
9.14
Parametric Contrastive Learning
2021-07-26
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
TADE
Error Rate
9.2
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
2021-07-20
코드 1 · 코드 2
ViT-B + Bal-CE
Error Rate
9.3
Learning Imbalanced Data with Vision Transformers
2022-12-05
코드 1
Equalization Loss
Error Rate
9.8
Equalization Loss for Long-Tailed Object Recognition
2020-03-11
코드 1
MiSLAS
Error Rate
10
Improving Calibration for Long-Tailed Recognition
2021-04-01
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
ViT-B + CB
Error Rate
10.1
Learning Imbalanced Data with Vision Transformers
2022-12-05
코드 1
De-C-TDE + Curvature Regularization
Error Rate
10.1
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
2023-03-22
코드 1 · 코드 2
L2A(S2)
Error Rate
10.16
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
2022-12-03
연결 없음
ResLT
Error Rate
10.3
ResLT: Residual Learning for Long-tailed Recognition
2021-01-26
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
RIDE
Error Rate
10.3
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
2021-07-20
코드 1 · 코드 2
ICCL
Error Rate
10.3
Improving Tail-Class Representation with Centroid Contrastive Learning
2021-10-19
연결 없음
MetaSAug-LDAM
Error Rate
10.32
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
2021-03-23
코드 1
UniMix+Bayias
Error Rate
10.34
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
2021-11-06
코드 1
ViT-B + CE
Error Rate
10.5
Learning Imbalanced Data with Vision Transformers
2022-12-05
코드 1
LDAM + DRW + SAM
Error Rate
10.6
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
2022-12-28
코드 1
SAFA+LDAM-DRW (ResNeXt-29)
Error Rate
10.61
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification
2022-11-06
연결 없음
GCLLoss
Error Rate
10.77
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
2023-05-19
코드 1