Papers with Code · CC BY-SA 4.0

WHU-CD

아카이브 평가 22건 · 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
CLAFA-LWGANet L2	F1 95.24 Precision 96.51 IoU 90.92	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks 2025-01-17	코드 1
BiFA	F1 94.37 Overall Accuracy 99.56 Precision 95.15 Recall 93.60 IoU 89.34	BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment 2024-03-18	코드 1
C2FNet	F1 94.36 Overall Accuracy 99.56 Precision 96.57 Recall 92.26 KC 94.14 IoU 89.33	C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images 2024-04-22	코드 1
ChangeMamba	F1 94.19 Overall Accuracy 99.58 Precision 96.18 Recall 92.23 KC 93.98 IoU 89.02	ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model 2024-04-04	코드 1
CDMamba	F1 93.76 Overall Accuracy 99.51 Precision 95.58 Recall 92.01 IoU 88.26	CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection 2024-06-06	코드 1 · 코드 2 · 코드 3
SChanger-base	F1 93.20	SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective 2025-03-26	코드 1
SChanger-small	F1 93.15	SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective 2025-03-26	코드 1
DDPM-CD	F1 92.65 Overall Accuracy 99.42	DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection 2022-06-23	코드 1
CGNet	F1 92.59 Overall Accuracy 99.48 Precision 94.47 Recall 90.79 KC 92.33 IoU 86.21	Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery 2024-04-14	코드 1
Dsfer-Net	F1 92.58 Overall Accuracy 99.46 Precision 94.17 Recall 91.04 IoU 86.18	Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks 2023-04-03	코드 1
LRNet	F1 92.51 Overall Accuracy 99.47 Precision 95.11 Recall 90.04 IoU 86.06	LRNet: Change detection of high-resolution remote sensing imagery via strategy of localization-then-refinement 2024-04-07	코드 1
HCGMNet	F1 92.08 Overall Accuracy 99.45 Precision 93.93 Recall 90.31 KC 91.80 IoU 85.33	HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection 2023-02-21	코드 1
SRC-Net	F1 92.06 Overall Accuracy 99.30 Precision 92.57 Recall 91.55 IoU 85.28	SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection 2024-06-09	코드 1
RSM-CD	F1 91.87 Precision 93.37 Recall 90.42 IoU 84.96	RS-Mamba for Large Remote Sensing Image Dense Prediction 2024-04-03	코드 1
T-UNet	F1 91.77 Overall Accuracy 99.42 Precision 95.44 Recall 88.37	T-UNet: Triplet UNet for Change Detection in High-Resolution Remote Sensing Images 2023-08-04	코드 1
CDMaskFormer	F1 91.56 Overall Accuracy 99.23 Precision 92.25 Recall 90.89 IoU 84.44	Rethinking Remote Sensing Change Detection With A Mask View 2024-06-21	코드 1
RFL-CDNet	F1 91.39 Precision 91.33 Recall 91.46	RFL-CDNet: Towards Accurate Change Detection via Richer Feature Learning 2024-04-27	코드 1
Tiny-CD	F1 91.05 Overall Accuracy 99.10 Precision 92.68 Recall 89.47 IoU 83.57	TINYCD: A (Not So) Deep Learning Model For Change Detection 2022-07-26	코드 1 · 코드 2
DDLNet	F1 90.56 Overall Accuracy 99.13 Precision 91.56 Recall 90.03 IoU 82.75	DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning 2024-06-19	코드 1
DTCDSCN	F1 89.75 Precision 90.15 Recall 89.35 IoU 81.40	Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model 2019-09-17	연결 없음
HANet	F1 88.16 Overall Accuracy 99.16 Precision 88.30 Recall 88.01 KC 87.72 IoU 78.82	HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images 2024-04-14	코드 1
STNet	F1 87.46 Overall Accuracy 98.85 Precision 87.84 Recall 87.08 IoU 77.72	STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images 2023-04-22	코드 1