6 citations · 11 across the 4 of their papers we have counts for
4 papers
SM+: Refined Scale Match for Tiny Person Detection
Nan Jiang, Xuehui Yu, Xiaoke Peng +2
Detecting tiny objects ( e.g., less than 20 x 20 pixels) in large-scale images is an important yet open problem. Modern CNN-based detectors are challenged by the scale mismatch bet…
Effective Fusion Factor in FPN for Tiny Object Detection
Yuqi Gong, Xuehui Yu, Yao Ding +3
FPN-based detectors have made significant progress in general object detection, e.g., MS COCO and PASCAL VOC. However, these detectors fail in certain application scenarios, e.g.,…
The 1st Tiny Object Detection Challenge:Methods and Results
Xuehui Yu, Zhenjun Han, Yuqi Gong +22
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a…
Scale Match for Tiny Person Detection
Xuehui Yu, Yuqi Gong, Nan Jiang +2
Visual object detection has achieved unprecedented ad-vance with the rise of deep convolutional neural networks.However, detecting tiny objects (for example tiny per-sons less than…