Papers with Code · CC BY-SA 4.0

LEVIR-CD

아카이브 평가 28건 · 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
SChanger-base	F1 92.87	SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective 2025-03-26	코드 1
MAE+MTP(ViT-L+RVSA)	F1 92.67	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20	코드 1 · 코드 2
IMP+MTP(InternImage-XL)	F1 92.54	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20	코드 1 · 코드 2
SChanger-small	F1 92.45	SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective 2025-03-26	코드 1
CLAFA-LWGANet L2	F1 92.42 IoU 85.90 F1-score 92.42 Precision 93.25	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks 2025-01-17	코드 1
Changer (Ex, ResNeSt101)	F1 92.33 IoU 85.76	Changer: Feature Interaction is What You Need for Change Detection 2022-09-17	코드 1
LSKNet	F1 92.27 IoU 85.65 F1-score 92.27 Precision 93.34 Recall 91.23	LSKNet: A Foundation Lightweight Backbone for Remote Sensing 2024-03-18	코드 1 · 코드 2
SRC-Net	F1 92.24 IoU 85.60 F1-score 92.24	SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection 2024-06-09	코드 1
MAE+MTP(ViT-B+RVSA)	F1 92.22	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20	코드 1 · 코드 2
Changer (Ex, ResNeSt50)	F1 92.19 IoU 85.51	Changer: Feature Interaction is What You Need for Change Detection 2022-09-17	코드 1
TTP	F1 92.1 IoU 85.6 Overall Accuracy 99.2 Precision 93.0 Recall 91.7	Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection 2023-12-23	코드 1 · 코드 2 · 코드 3
CGNet	F1 92.01 IoU 85.21 Overall Accuracy 99.20 F1-score 92.01 Precision 93.15 Recall 90.90	Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery 2024-04-14	코드 1
ChangeCLIP	F1 92.01 IoU 85.20 Overall Accuracy 99.20 Precision 93.40 Recall 90.67	ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning 2024-01-04	코드 1
P2V-CD	F1 91.94	Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images 2022-12-07	코드 1 · 코드 2
C2FNet	F1 91.83 IoU 93.69 Overall Accuracy 90.04 F1-score 99.18 Precision 84.89 Recall 91.40	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
Changer (Ex, ResNet-18)	F1 91.77 IoU 84.80	Changer: Feature Interaction is What You Need for Change Detection 2022-09-17	코드 1
HCGMNet	F1 91.77 IoU 84.79 Overall Accuracy 99.18 F1-score 91.77 Precision 92.96 Recall 90.61	HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection 2023-02-21	코드 1
BTC	F1 91.5	Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices 2025-07-04	코드 1
ChangeStar(BiSup)	F1 91.25 IoU 83.92 Overall Accuracy -	Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery 2021-08-16	코드 1 · 코드 2 · 코드 3
DDPM-CD	F1 90.91 Overall Accuracy 99.09	DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection 2022-06-23	코드 1
BiFA	F1 90.69 IoU 82.96 Overall Accuracy 99.06 Precision 91.52 Recall 89.86	BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment 2024-03-18	코드 1
CDMaskFormer	F1 90.66 IoU 82.92 Overall Accuracy 99.06 Precision 92.01 Recall 89.35	Rethinking Remote Sensing Change Detection With A Mask View 2024-06-21	코드 1
FTAN	F1 90.51 IoU 82.78 Precision 92.41 Recall 88.82	Frequency-Temporal Attention Network for Remote Sensing Imagery Change Detection 2024-10-10	코드 1
ChangeFormer	F1 90.4 IoU 82.48 Overall Accuracy 99.04	A Transformer-Based Siamese Network for Change Detection 2022-01-04	코드 1 · 코드 2 · 코드 3
HANet	F1 90.28 IoU 82.27 Overall Accuracy 99.02 F1-score 90.28 Precision 91.21 Recall 89.36	HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images 2024-04-14	코드 1
SGSLN/512	F1-score 0.9233	Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization 2023-11-19	코드 1
SGSLN/256	F1-score 0.9193	Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization 2023-11-19	코드 1
SGSLN/128	F1-score 0.91	Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization 2023-11-19	코드 1