5 papers · 1 filter
GeoRoPE: Ground-Aware Rotary Adaptation for Remote Sensing Foundation Models
Yu Luo, Kun Hu, Mengwei He +7
Remote-sensing foundation models (RSFMs) benefit from pretraining on imagery from multiple sensors and ground sampling distances (GSDs), but such exposure alone does not resolve sc…
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
Yu Luo, Xiaogang Zhu, Shan Zeng +4
Accurate crop yield prediction is crucial for sustainable agriculture and global food security. While existing methods are predominantly developed for single-crop prediction, they…
OrthoEraser: Coupled-Neuron Orthogonal Projection for Concept Erasure
Chuancheng Shi, Wenhua Wu, Fei Shen +3
Text-to-image (T2I) models face significant safety risks from adversarial induction, yet current concept erasure methods often cause collateral damage to benign attributes when sup…
F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation
Hengzhi Chen, Liqian Feng, Wenhua Wu +3
Semantic segmentation of ultra-high-resolution (UHR) remote sensing imagery is critical for applications like environmental monitoring and urban planning but faces computational an…
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
Kunming Su, Qiuxia Wu, Panpan Cai +4
Masked point modeling methods have recently achieved great success in self-supervised learning for point cloud data. However, these methods are sensitive to rotations and often exh…