67 citations · 221 across the 19 of their papers we have counts for
4 papers · 1 filter
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network
Xinjiang Wang, Zeyu Liu, Yu Hu +3
We introduce a lightweight network to improve descriptors of keypoints within the same image. The network takes the original descriptors and the geometric properties of keypoints a…
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
Xinjiang Wang, Xingyi Yang, Shilong Zhang +6
In this study, we dive deep into the inconsistency of pseudo targets in semi-supervised object detection (SSOD). Our core observation is that the oscillating pseudo-targets undermi…
What Are Expected Queries in End-to-End Object Detection?
Shilong Zhang, Xinjiang Wang, Jiaqi Wang +2
End-to-end object detection is rapidly progressed after the emergence of DETR. DETRs use a set of sparse queries that replace the dense candidate boxes in most traditional detector…
Group R-CNN for Weakly Semi-supervised Object Detection with Points
Shilong Zhang, Zhuoran Yu, Liyang Liu +3
We study the problem of weakly semi-supervised object detection with points (WSSOD-P), where the training data is combined by a small set of fully annotated images with bounding bo…