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아카이브 평가 29건 · 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-L/14)	Top-1 Accuracy 53.7	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18	코드 1
LIFT (ViT-B/16)	Top-1 Accuracy 52.2	Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18	코드 1
MAM (ViT-B/16)	Top-1 Accuracy 51.4	Improving Image Recognition by Retrieving from Web-Scale Image-Text Data 2023-04-11	연결 없음
VL-LTR (ViT-B-16)	Top-1 Accuracy 50.1	VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition 2021-11-26	코드 1
BALLAD(ViT-B-16)	Top-1 Accuracy 49.5	A Simple Long-Tailed Recognition Baseline via Vision-Language Model 2021-11-29	코드 1
BALLAD(ResNet-50×16)	Top-1 Accuracy 49.3	A Simple Long-Tailed Recognition Baseline via Vision-Language Model 2021-11-29	코드 1
VL-LTR (ResNet-50)	Top-1 Accuracy 48.0	VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition 2021-11-26	코드 1
BALLAD(ResNet-101)	Top-1 Accuracy 47.9	A Simple Long-Tailed Recognition Baseline via Vision-Language Model 2021-11-29	코드 1
RAC (ViT-B-16)	Top-1 Accuracy 47.17	Retrieval Augmented Classification for Long-Tail Visual Recognition 2022-02-22	연결 없음
BALLAD(ResNet-50)	Top-1 Accuracy 46.5	A Simple Long-Tailed Recognition Baseline via Vision-Language Model 2021-11-29	코드 1
APA (SE-ResNet-50)	Top-1 Accuracy 42.0	Adaptive Parametric Activation 2024-07-11	코드 1
Difficulty-Net (ResNet-152)	Top-1 Accuracy 41.7	Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition 2022-09-07	코드 1
GPaCo (ResNet-152)	Top-1 Accuracy 41.7	Generalized Parametric Contrastive Learning 2022-09-26	코드 1 · 코드 2 · 코드 3 · 코드 4
NCL(ResNet-152)	Top-1 Accuracy 41.5	Nested Collaborative Learning for Long-Tailed Visual Recognition 2022-03-29	코드 1
TADE	Top-1 Accuracy 41.3 Top 1 Accuracy 40.9	Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20	코드 1 · 코드 2
PaCo	Top-1 Accuracy 41.2	Parametric Contrastive Learning 2021-07-26	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
OPeN (ResNet-152)	Top-1 Accuracy 40.5	Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images 2021-12-16	코드 1
IEM	Top-1 Accuracy 39.7	Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition 2020-06-01	연결 없음
LDAM-DRS-RSG	Top-1 Accuracy 39.3	RSG: A Simple but Effective Module for Learning Imbalanced Datasets 2021-06-18	코드 1
DisAlign	Top-1 Accuracy 39.3	Distribution Alignment: A Unified Framework for Long-tail Visual Recognition 2021-03-30	코드 1
CBExperts	Top-1 Accuracy 38.9	Long-Tailed Recognition Using Class-Balanced Experts 2020-04-07	코드 1
LADE	Top-1 Accuracy 38.8	Disentangling Label Distribution for Long-tailed Visual Recognition 2020-12-01	코드 1 · 코드 2
BALMS	Top-1 Accuracy 38.7	Balanced Meta-Softmax for Long-Tailed Visual Recognition 2020-07-21	코드 1
smDRAGON	Top-1 Accuracy 38.1	From Generalized zero-shot learning to long-tail with class descriptors 2020-04-05	코드 1
CB LWS	Top-1 Accuracy 37.6	Decoupling Representation and Classifier for Long-Tailed Recognition 2019-10-21	코드 1 · 코드 2 · 코드 3 · 코드 4
Online Feature Augmentation	Top-1 Accuracy 36.4	Feature Space Augmentation for Long-Tailed Data 2020-08-09	연결 없음
LFME + OLTR	Top-1 Accuracy 36.2	Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification 2020-01-06	코드 1
OLTR	Top-1 Accuracy 34.1	Large-Scale Long-Tailed Recognition in an Open World 2019-04-10	코드 1 · 코드 2
Domain Adaptation	Top-1 Accuracy 30.8	Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective 2020-03-24	코드 1