IEEE

Memory-Augmented Detection Transformer for Few-Shot Object Detection in Remote Sensing Imagery

Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...
IEEE

PolarBEVU: Multi-Camera 3D Object Detection in Polar Bird’s-Eye View via Unprojection

Abstract: 3D object detection from a Bird’s Eye View (BEV) has emerged as a novel perception paradigm for autonomous driving scenarios. While most current 3D object detection methods still rely on the ...
GitHub

[CVPR2025] Fractal Calibration for long-tailed object detection

Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...
GitHub

LLaMA-Unidetector: An LLaMA-Based Universal Framework for Open-Vocabulary Object Detection in Remote Sensing Imagery

We introduce a novel open-set benchmark for remote sensing, accompanied by a self-built Vision Question Answering (VQA) remote sensing dataset, TerraVQA, providing a platform for researchers to ...