activity
20232026
most citedSARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection

16 citations · 32 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction

Chenxu Peng, Chenxu Wang, Yimian Dai +3

Accurate road segmentation from aerial imagery is fundamental to many geospatial applications. However, existing datasets often suffer from limited scene diversity, low semantic gr…

cs.CV2025

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection

Kang Ni, Minrui Zou, Yuxuan Li +4

One of the primary challenges in Synthetic Aperture Radar (SAR) object detection lies in the pervasive influence of coherent noise. As a common practice, most existing methods, whe…

cs.CV2025★ 7 cited

Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

Xinbin Yuan, Zhaohui Zheng, Yuxuan Li +5

While witnessed with rapid development, remote sensing object detection remains challenging for detecting high aspect ratio objects. This paper shows that large strip convolutions…

cs.CV2025

RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark

Xin Zhang, Xue Yang, Yuxuan Li +3

Rotated object detection has made significant progress in the optical remote sensing. However, advancements in the Synthetic Aperture Radar (SAR) field are laggard behind, primaril…

cs.CV2024★ 2 cited

SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection

Yuxuan Li, Xiang Li, Yunheng Li +5

With the rapid advancement of remote sensing technology, high-resolution multi-modal imagery is now more widely accessible. Conventional Object detection models are trained on a si…

cs.CV2024★ 1 cited

SARATR-X: Toward Building A Foundation Model for SAR Target Recognition

Weijie Li, Wei Yang, Yuenan Hou +3

Despite the remarkable progress in synthetic aperture radar automatic target recognition (SAR ATR), recent efforts have concentrated on detecting and classifying a specific categor…