← Image Classification
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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| 모델 | 원본 지표·값 | 논문 | 구현 |
|---|---|---|---|
| LRA-diffusion (CLIP ViT) |
|
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels 2023-05-31 |
코드 1 |
| Robust LR |
|
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise 2021-12-06 |
연결 없음 |
| PGDF (Inception-ResNet-v2) |
|
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels 2021-12-02 |
코드 1 |
| SSR |
|
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise 2021-11-22 |
코드 1 |
| BtR |
|
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels 2022-10-17 |
코드 1 |
| CoDiM-Sup (Inception-ResNet-v2) |
|
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning 2021-11-23 |
연결 없음 |
| NCR+Mixup+DA (ResNet-50) |
|
Learning with Neighbor Consistency for Noisy Labels 2022-02-04 |
코드 1 |
| CMW-Net-SL+C2D |
|
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning 2022-02-11 |
코드 1 |
| Dynamic Loss (Inception-ResNet-v2) |
|
Dynamic Loss For Robust Learning 2022-11-22 |
코드 1 |
| CoDiM-Self (Inception-ResNet-v2) |
|
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning 2021-11-23 |
연결 없음 |
| Sel-CL+ (ResNet-18) |
|
Selective-Supervised Contrastive Learning with Noisy Labels 2022-03-08 |
코드 1 |
| CPC |
|
Class Prototype-based Cleaner for Label Noise Learning 2022-12-21 |
코드 1 |
| PSSCL (130 epochs) |
|
PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels 2024-12-18 |
코드 1 |
| DivideMix with C2D (ResNet-50) |
|
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels 2021-03-25 |
코드 1 |
| FaMUS |
|
Faster Meta Update Strategy for Noise-Robust Deep Learning 2021-04-30 |
코드 1 |
| NCR+Mixup (ResNet-50) |
|
Learning with Neighbor Consistency for Noisy Labels 2022-02-04 |
코드 1 |
| CC |
|
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels 2022-07-29 |
코드 1 |
| GJS (ResNet-50) |
|
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels 2021-05-10 |
코드 1 |
| NGC (Inception-ResNet-v2) |
|
NGC: A Unified Framework for Learning with Open-World Noisy Data 2021-08-25 |
연결 없음 |
| TCL |
|
Twin Contrastive Learning with Noisy Labels 2023-03-13 |
코드 1 |
| LongReMix (Inception-ResNet-v2) |
|
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment 2021-03-06 |
코드 1 |
| MOIT+ (ResNet-18) |
|
Multi-Objective Interpolation Training for Robustness to Label Noise 2020-12-08 |
코드 1 |
| PSSCL (120 epochs) |
|
PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels 2024-12-18 |
코드 1 |
| CMW-Net-SL |
|
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning 2022-02-11 |
코드 1 |
| ELR+ (Inception-ResNet-v2) |
|
Early-Learning Regularization Prevents Memorization of Noisy Labels 2020-06-30 |
코드 1 · 코드 2 |
| ScanMix (Inception-ResNet-v2) |
|
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning 2021-03-21 |
코드 1 |
| ROLT+ (Inception-ResNet-v2) |
|
Robust Long-Tailed Learning under Label Noise 2021-08-26 |
연결 없음 |
| CNLCU-S + DivideMix (Inception-ResNet-v2) |
|
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels 2021-06-01 |
연결 없음 |
| HSA-NRL(Inception-ResNet-v2) |
|
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification 2021-12-05 |
코드 1 |
| CAR |
|
Confidence Adaptive Regularization for Deep Learning with Noisy Labels 2021-08-18 |
연결 없음 |