GitHub

SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing

Prediction results of our proposed method. Network Architectural and Cross-domain Image Different. torch=1.10.2,torchvision=0.11.3 and mmcv-full=1.5.0. Recommended use of conda virtual environments ...
IEEE

Self-Supervised Spatial-Temporal Consistency for Source-Free Domain Adaptive Segmentation in Remote Sensing Images

Abstract: In conventional Unsupervised domain adaptation (UDA), model knowledge is transferred to the target domain with access to annotated source data, which is an unsuitable strategy for ...
IEEE

FSDA-DETR: Few-Shot Domain-Adaptive Object Detection Transformer in Remote Sensing Imagery

Abstract: Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of ...