25 citations · 37 across the 5 of their papers we have counts for
5 papers
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…
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…
StructToken : Rethinking Semantic Segmentation with Structural Prior
Fangjian Lin, Zhanhao Liang, Sitong Wu +3
In previous deep-learning-based methods, semantic segmentation has been regarded as a static or dynamic per-pixel classification task, \textit{i.e.,} classify each pixel representa…
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019
Kaibing Chen, Cheng Cui, Yuning Du +2
We present a retrieval based system for landmark retrieval and recognition challenge.There are five parts in retrieval competition system, including feature extraction and matching…
Point Linking Network for Object Detection
Xinggang Wang, Kaibing Chen, Zilong Huang +2
Object detection is a core problem in computer vision. With the development of deep ConvNets, the performance of object detectors has been dramatically improved. The deep ConvNets…