6 papers · 1 filter
Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
Zhongyao Li, Peirui Cheng, Liangjin Zhao +6
Multi-UAV collaborative 3D detection enables accurate and robust perception by fusing multi-view observations from aerial platforms, offering significant advantages in coverage and…
SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
Chen Chen, Zhirui Wang, Taowei Sheng +8
Existing vision-based 3D occupancy prediction methods are inherently limited in accuracy due to their exclusive reliance on street-view imagery, neglecting the potential benefits o…
UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping
Pengju Tian, Peirui Cheng, Yuchao Wang +5
Multi-UAV collaborative 3D object detection can perceive and comprehend complex environments by integrating complementary information, with applications encompassing traffic monito…
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
Zhechao Wang, Peirui Cheng, Mingxin Chen +5
Collaborative trajectory prediction can comprehensively forecast the future motion of objects through multi-view complementary information. However, it encounters two main challeng…
Comparison Network for One-Shot Conditional Object Detection
Tengfei Zhang, Yue Zhang, Xian Sun +4
The current advances in object detection depend on large-scale datasets to get good performance. However, there may not always be sufficient samples in many scenarios, which leads…
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang, Jirui Yang, Junchi Yan +5
Object detection has been a building block in computer vision. Though considerable progress has been made, there still exist challenges for objects with small size, arbitrary direc…