Papers with Code · CC BY-SA 4.0

ISPRS Potsdam

아카이브 평가 20건 · 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
AerialFormer-B	Overall Accuracy 93.9 Mean F1 94.1 Mean IoU 89.1	AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation 2023-06-12	코드 1
ViT-G12X4	Overall Accuracy 92.58 Mean F1 92.12	A Billion-scale Foundation Model for Remote Sensing Images 2023-04-11	연결 없음
FT-UNetFormer	Overall Accuracy 92.0 Mean F1 93.3 Mean IoU 87.5	UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery 2021-09-18	코드 1
DC-Swin	Overall Accuracy 92.0 Mean F1 93.25 Mean IoU 87.56	A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images 2021-04-25	코드 1
LSKNet-S	Overall Accuracy 92.0 Mean F1 93.1 Mean IoU 87.2	LSKNet: A Foundation Lightweight Backbone for Remote Sensing 2024-03-18	코드 1 · 코드 2
EfficientUNets and Transformers	Overall Accuracy 91.8 Mean F1 93.7	Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers 2022-06-20	연결 없음
IMP-ViTAEv2-S-UperNet	Overall Accuracy 91.6	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
MANet	Overall Accuracy 91.318	Multiattention network for semantic segmentation of fine-resolution remote sensing images 2021-05-15	코드 1
UNetFormer	Overall Accuracy 91.3 Mean F1 92.8 Mean IoU 86.8	UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery 2021-09-18	코드 1
ABCNet	Overall Accuracy 91.3	ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images 2021-02-04	코드 1
ViTAE-B + RVSA -UperNet	Overall Accuracy 91.22	Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model 2022-08-08	코드 1 · 코드 2
RSP-ViTAEv2-S-UperNet	Overall Accuracy 91.21	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
BANet	Overall Accuracy 91.06	Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images 2021-06-23	코드 1
RSP-Swin-T-UperNet	Overall Accuracy 90.78	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
ViT-B + RVSA-UperNet	Overall Accuracy 90.77	Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model 2022-08-08	코드 1 · 코드 2
RSP-ResNet-50-UperNet	Overall Accuracy 90.61	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
PSPNet (SAP)	Overall Accuracy 88.56 Mean IoU 74.3	Stochastic Subsampling With Average Pooling 2024-09-25	연결 없음
D2LS	Mean F1 94.7	Dynamic Dictionary Learning for Remote Sensing Image Segmentation 2025-03-09	코드 1
SFA-Net	Mean F1 93.5	SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image Segmentation 2024-09-03	코드 1
U-Net (ConvFormer-M36)	Mean IoU 89.45	U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery 2024-06-08	연결 없음