4 papers
FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
Chen-Bin Feng, Youyang Sha, Longfei Liu +4
In this paper, we present FSOD-VFM: Few-Shot Object Detectors with Vision Foundation Models, a framework that leverages vision foundation models to tackle the challenge of few-shot…
Real-Time Object Detection Meets DINOv3
Shihua Huang, Yongjie Hou, Longfei Liu +2
Driven by the simple and effective Dense O2O, DEIM demonstrates faster convergence and enhanced performance. In this work, we extend it with DINOv3 features, resulting in DEIMv2. D…
Lightweight Multi-Scale Feature Extraction with Fully Connected LMF Layer for Salient Object Detection
Yunpeng Shi, Lei Chen, Xiaolu Shen +1
In the domain of computer vision, multi-scale feature extraction is vital for tasks such as salient object detection. However, achieving this capability in lightweight networks rem…
SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements
Haiyang Xie, Xi Shen, Shihua Huang +2
Most visual models are designed for sRGB images, yet RAW data offers significant advantages for object detection by preserving sensor information before ISP processing. This enable…