Papers with Code · CC BY-SA 4.0

COCO-20i (1-shot)

아카이브 평가 85건 · 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
DACM (ResNet-50)	Mean IoU 40.6 FB-IoU 68.9	Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30	코드 1
APANet (ResNet-50)	Mean IoU 40.5	APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24	연결 없음
CyCTR (ResNet-50)	Mean IoU 40.3 learnable parameters (million) 15.4	Few-Shot Segmentation via Cycle-Consistent Transformer 2021-06-04	코드 1 · 코드 2
HSNet (ResNet-50)	Mean IoU 39.2 FB-IoU 68.2 learnable parameters (million) 2.5	Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04	코드 1
RePRI (CECE-M,ResNet-50)	Mean IoU 38.3	Clustered-patch Element Connection for Few-shot Learning 2023-04-20	코드 1
RePRI (CECE-T,ResNet-50)	Mean IoU 38.1	Clustered-patch Element Connection for Few-shot Learning 2023-04-20	코드 1
IIMR-HSNet (VGG-16)	Mean IoU 37.7	Iterative Few-shot Semantic Segmentation from Image Label Text 2023-03-10	코드 1
MLC (ResNet-101)	Mean IoU 37.5	Mining Latent Classes for Few-shot Segmentation 2021-03-29	코드 1
SSP (ResNet-50)	Mean IoU 37.4	Self-Support Few-Shot Semantic Segmentation 2022-07-23	코드 1
APANet (VGG-16)	Mean IoU 37.2	APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24	연결 없음
PFENet (SCL, ResNet-101)	Mean IoU 37	Self-Guided and Cross-Guided Learning for Few-Shot Segmentation 2021-03-30	코드 1
FECANet (VGG-16)	Mean IoU 35.4 FB-IoU 65.5	FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network 2023-01-19	코드 1
MLC (ResNet-50)	Mean IoU 35.1	Mining Latent Classes for Few-shot Segmentation 2021-03-29	코드 1
ASGNet (ResNet-50)	Mean IoU 34.56 FB-IoU 60.39	Adaptive Prototype Learning and Allocation for Few-Shot Segmentation 2021-04-05	코드 1 · 코드 2
PFENet (VGG-16)	Mean IoU 34.1 FB-IoU 60	Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04	코드 1 · 코드 2 · 코드 3
RePRI (ResNet-50)	Mean IoU 34.1	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? 2020-12-11	코드 1 · 코드 2
ASR (ResNet-50)	Mean IoU 33.85	Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation 2021-06-01	코드 1
CWT (ResNet-50)	Mean IoU 32.9	Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer 2021-08-06	코드 1
PFENet (ResNet-101)	Mean IoU 32.4 FB-IoU 58.6 learnable parameters (million) 10.3	Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04	코드 1 · 코드 2 · 코드 3
CWT (ResNet-101)	Mean IoU 32.4	Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer 2021-08-06	코드 1
RPMM (ResNet-50)	Mean IoU 30.6	Prototype Mixture Models for Few-shot Semantic Segmentation 2020-08-10	코드 1
PPNet (ResNet-50)	Mean IoU 29.0 learnable parameters (million) 31.5	Part-aware Prototype Network for Few-shot Semantic Segmentation 2020-07-13	코드 1 · 코드 2
FWB (ResNet-101)	Mean IoU 21.2	Feature Weighting and Boosting for Few-Shot Segmentation 2019-09-28	코드 1
PANet (VGG-16)	Mean IoU 20.9 FB-IoU 59.2	PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment 2019-08-18	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
FWB (VGG-16)	Mean IoU 20.02	Feature Weighting and Boosting for Few-Shot Segmentation 2019-09-28	코드 1