← Few-Shot Class-Incremental Learning

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mini-Imagenet

아카이브 평가 12건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

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
CoACT	Last Accuracy 96.24	Few-shot Tuning of Foundation Models for Class-incremental Learning 2024-05-26	코드 1
PriViLege	Average Accuracy 95.27 Last Accuracy 94.10	Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners 2024-04-02	코드 1
SV-T	Average Accuracy 85.07 Last Accuracy 81.65	Semantic-visual Guided Transformer for Few-shot Class-incremental Learning 2023-03-27	연결 없음
BOT	Last Accuracy 59.57	A Bag of Tricks for Few-Shot Class-Incremental Learning 2024-03-21	연결 없음
NC-FSCIL	Average Accuracy 67.82 Last Accuracy 58.31	Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning 2023-02-02	코드 1
C-FSCIL	Average Accuracy 61.61 Last Accuracy 51.41	Constrained Few-shot Class-incremental Learning 2022-03-30	코드 1 · 코드 2
FACT	Average Accuracy 60.70 Last Accuracy 50.49	Forward Compatible Few-Shot Class-Incremental Learning 2022-03-14	코드 1
LIMIT	Average Accuracy 59.06 Last Accuracy 49.19	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks 2022-03-31	코드 1
F2M	Average Accuracy 54.89 Last Accuracy 47.84	Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima 2021-10-30	코드 1
CEC	Average Accuracy 57.74 Last Accuracy 47.63	Few-Shot Incremental Learning with Continually Evolved Classifiers 2021-04-07	코드 1
IDLVQ-C	Average Accuracy 51.16 Last Accuracy 41.84	Incremental few-shot learning via vector quantization in deep embedded space 2021-01-01	연결 없음
AL-MML	Average Accuracy 39.64 Last Accuracy 24.42	Few-Shot Class-Incremental Learning 2020-04-23	코드 1