3 papers
cs.CV2024
Corner2Net: Detecting Objects as Cascade Corners
Chenglong Liu, Jintao Liu, Haorao Wei +4
The corner-based detection paradigm enjoys the potential to produce high-quality boxes. But the development is constrained by three factors: 1) Hard to match corners. Heuristic cor…
cs.CV2024
DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes
Yunqi Zhao, Yuchen Guo, Zheng Cao +3
Tracking in gigapixel scenarios holds numerous potential applications in video surveillance and pedestrian analysis. Existing algorithms attempt to perform tracking in crowded scen…
cs.CV2024
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images
Wenxi Li, Ruxin Zhang, Haozhe Lin +3
The advancement of deep learning in object detection has predominantly focused on megapixel images, leaving a critical gap in the efficient processing of gigapixel images. These su…