118 citations · 119 across the 4 of their papers we have counts for
4 papers
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning
Yuanbing Ouyang, Yizhuo Liang, Qingpeng Li +5
Vision Transformers (ViTs) excel in semantic segmentation but demand significant computation, posing challenges for deployment on resource-constrained devices. Existing token pruni…
DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection
Qingpeng Li, Yuxin Zhang, Leyuan Fang +3
Object detection algorithms are pivotal components of unmanned aerial vehicle (UAV) imaging systems, extensively employed in complex fields. However, images captured by high-mobili…
SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy
Yuhan Kang, Qingpeng Li, Leyuan Fang +2
Concealed object detection (COD) in cluttered scenes is significant for various image processing applications. However, due to that concealed objects are always similar to their ba…
R-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos
Qingpeng Li, Lichao Mou, Qizhi Xu +2
Vehicle detection is a significant and challenging task in aerial remote sensing applications. Most existing methods detect vehicles with regular rectangle boxes and fail to offer…