7 citations · 12 across the 2 of their papers we have counts for
4 papers
Points as Queries: Weakly Semi-supervised Object Detection by Points
Liangyu Chen, Tong Yang, Xiangyu Zhang +2
We propose a novel point annotated setting for the weakly semi-supervised object detection task, in which the dataset comprises small fully annotated images and large weakly annota…
You Only Look One-level Feature
Qiang Chen, Yingming Wang, Tong Yang +3
This paper revisits feature pyramids networks (FPN) for one-stage detectors and points out that the success of FPN is due to its divide-and-conquer solution to the optimization pro…
Learning Human-Object Interaction Detection using Interaction Points
Tiancai Wang, Tong Yang, Martin Danelljan +3
Understanding interactions between humans and objects is one of the fundamental problems in visual classification and an essential step towards detailed scene understanding. Human-…
DetNAS: Backbone Search for Object Detection
Yukang Chen, Tong Yang, Xiangyu Zhang +3
Object detectors are usually equipped with backbone networks designed for image classification. It might be sub-optimal because of the gap between the tasks of image classification…