75 citations · 77 across the 2 of their papers we have counts for
4 papers
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
Tengfei Zhang, Yue Zhang, Xian Sun +3
Deep learning based object detection has achieved great success. However, these supervised learning methods are data-hungry and time-consuming. This restriction makes them unsuitab…
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…
A Remote Sensing Image Dataset for Cloud Removal
Daoyu Lin, Guangluan Xu, Xiaoke Wang +3
Cloud-based overlays are often present in optical remote sensing images, thus limiting the application of acquired data. Removing clouds is an indispensable pre-processing step in…
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…