← Few-Shot Class-Incremental Learning

Papers with Code · CC BY-SA 4.0

CIFAR-100

아카이브 평가 11건 · 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
PriViLege	Average Accuracy 88.08 Last Accuracy 86.06	Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners 2024-04-02	코드 1
CoACT	Last Accuracy 84.63	Few-shot Tuning of Foundation Models for Class-incremental Learning 2024-05-26	코드 1
SV-T	Average Accuracy 76.84 Last Accuracy 69.75	Semantic-visual Guided Transformer for Few-shot Class-incremental Learning 2023-03-27	연결 없음
BOT	Last Accuracy 58.75	A Bag of Tricks for Few-Shot Class-Incremental Learning 2024-03-21	연결 없음
NC-FSCIL	Average Accuracy 67.50 Last Accuracy 56.11	Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning 2023-02-02	코드 1
FACT	Average Accuracy 62.24 Last Accuracy 52.10	Forward Compatible Few-Shot Class-Incremental Learning 2022-03-14	코드 1
LIMIT	Average Accuracy 61.85 Last Accuracy 51.23	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks 2022-03-31	코드 1
C-FSCIL	Average Accuracy 61.67 Last Accuracy 50.47	Constrained Few-shot Class-incremental Learning 2022-03-30	코드 1 · 코드 2
CEC	Average Accuracy 59.53 Last Accuracy 49.14	Few-Shot Incremental Learning with Continually Evolved Classifiers 2021-04-07	코드 1
F2M	Average Accuracy 53.69 Last Accuracy 44.65	Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima 2021-10-30	코드 1
AL-MML	Average Accuracy 42.62	Few-Shot Class-Incremental Learning 2020-04-23	코드 1