← Unsupervised Domain Adaptation
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ImageNet-C

아카이브 평가 16건 · 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
EfficientNet-L2+RPL
mean Corruption Error (mCE)
22.0
If your data distribution shifts, use self-learning
2021-04-27
코드 1
EfficientNet-L2+ENT
mean Corruption Error (mCE)
23.0
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNeXt101 32x8d + DeepAug + Augmix + RPL
mean Corruption Error (mCE)
34.8
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNeXt101 32x8d + DeepAug + Augmix + ENT
mean Corruption Error (mCE)
35.5
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, full adaptation
mean Corruption Error (mCE)
38.0
Improving robustness against common corruptions by covariate shift adaptation
2020-06-30
코드 1 · 코드 2
ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, 8 samples
mean Corruption Error (mCE)
40.7
Improving robustness against common corruptions by covariate shift adaptation
2020-06-30
코드 1 · 코드 2
ResNeXt101 32x8d + IG-3.5B + ENT
mean Corruption Error (mCE)
40.8
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNeXt101 32x8d + IG-3.5B + RPL
mean Corruption Error (mCE)
40.9
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNeXt101 32x8d + RPL
mean Corruption Error (mCE)
43.2
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNeXt101 32x8d + ENT
mean Corruption Error (mCE)
44.3
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNet50+DeepAug+AugMix, BatchNorm Adaptation, full adaptation
mean Corruption Error (mCE)
45.4
Improving robustness against common corruptions by covariate shift adaptation
2020-06-30
코드 1 · 코드 2
ResNet50+DeepAug+AugMix, BatchNorm Adaptation, 8 samples
mean Corruption Error (mCE)
48.4
Improving robustness against common corruptions by covariate shift adaptation
2020-06-30
코드 1 · 코드 2
ResNet50 + RPL
mean Corruption Error (mCE)
50.5
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNet50 + ENT
mean Corruption Error (mCE)
51.6
If your data distribution shifts, use self-learning
2021-04-27
코드 1
ResNet50 (baseline), BatchNorm Adaptation, full adaptation
mean Corruption Error (mCE)
62.2
Improving robustness against common corruptions by covariate shift adaptation
2020-06-30
코드 1 · 코드 2
ResNet50 (baseline), BatchNorm Adaptation, 8 samples
mean Corruption Error (mCE)
65.0
Improving robustness against common corruptions by covariate shift adaptation
2020-06-30
코드 1 · 코드 2