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cs.CV2026

SFKD: Spatial--Frequency Joint-Aware Heterogeneous Knowledge Distillation via Multi-Level Wavelet Spectral Interaction

Cuipeng Wang, Haipeng Wang

Most existing knowledge distillation methods focus on homogeneous models (e.g., CNN-to-CNN), thereby overlooking the flexibility and potential of knowledge transfer across heteroge…

cs.CV2026

PASTE: Physics-Aware Scattering Topology Embedding Framework for SAR Object Detection

Jiacheng Chen, Yuxuan Xiong, Haipeng Wang

Current deep learning-based object detection for Synthetic Aperture Radar (SAR) imagery mainly adopts optical image methods, treating targets as texture patches while ignoring inhe…

cs.CV2026

CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation

Ziqi Ye, Ziyang Gong, Ning Liao +10

Synthetic Aperture Radar (SAR) enables global, all-weather earth observation. However, owing to diverse imaging mechanisms, domain shifts across sensors and regions severely hinder…

cs.CV2026

FUSAR-GPT : A Spatiotemporal Feature-Embedded and Two-Stage Decoupled Visual Language Model for SAR Imagery

Xiaokun Zhang, Yi Yang, Ziqi Ye +6

Research on the intelligent interpretation of all-weather, all-time Synthetic Aperture Radar (SAR) is crucial for advancing remote sensing applications. In recent years, although V…

cs.CV2025

FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing

Yi Yang, Xiaokun Zhang, Qingchen Fang +5

Cross-modal artificial intelligence, represented by visual language models, has achieved significant success in general image understanding. However, a fundamental cognitive incons…

cs.CV2025

Object Fidelity Diffusion for Remote Sensing Image Generation

Ziqi Ye, Shuran Ma, Jie Yang +5

High-precision controllable remote sensing image generation is both meaningful and challenging. Existing diffusion models often produce low-fidelity images due to their inability t…