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cs.CV2025

Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection

Zhongyao Li, Peirui Cheng, Liangjin Zhao +6

Multi-UAV collaborative 3D detection enables accurate and robust perception by fusing multi-view observations from aerial platforms, offering significant advantages in coverage and…

cs.CV2025

SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World

Chen Chen, Zhirui Wang, Taowei Sheng +8

Existing vision-based 3D occupancy prediction methods are inherently limited in accuracy due to their exclusive reliance on street-view imagery, neglecting the potential benefits o…

cs.CV2024

SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanchun He +5

Semantic segmentation and 3D reconstruction are two fundamental tasks in remote sensing, typically treated as separate or loosely coupled tasks. Despite attempts to integrate them…

cs.CV2024

Physics-Guided Detector for SAR Airplanes

Zhongling Huang, Long Liu, Shuxin Yang +3

The disperse structure distributions (discreteness) and variant scattering characteristics (variability) of SAR airplane targets lead to special challenges of object detection and…

cs.CV2024

Twin Deformable Point Convolutions for Point Cloud Semantic Segmentation in Remote Sensing Scenes

Yong-Qiang Mao, Hanbo Bi, Xuexue Li +4

Thanks to the application of deep learning technology in point cloud processing of the remote sensing field, point cloud segmentation has become a research hotspot in recent years,…

cs.CV2024

RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks

Zhechao Wang, Peirui Cheng, Pengju Tian +6

Remote sensing lightweight foundation models have achieved notable success in online perception within remote sensing. However, their capabilities are restricted to performing onli…