28 citations · 64 across the 7 of their papers we have counts for
7 papers
Reconcile Prediction Consistency for Balanced Object Detection
Keyang Wang, Lei Zhang
Classification and regression are two pillars of object detectors. In most CNN-based detectors, these two pillars are optimized independently. Without direct interactions between t…
Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
Keyang Wang, Lei Zhang, Wenli Song +2
The anchor-based detectors handle the problem of scale variation by building the feature pyramid and directly setting different scales of anchors on each cell in different layers.…
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Ni Xiao, Lei Zhang
Unsupervised domain adaptation (UDA) aims to improve the classification performance on an unlabeled target domain by leveraging information from a fully labeled source domain. Rece…
Single-Shot Two-Pronged Detector with Rectified IoU Loss
Keyang Wang, Lei Zhang
In the CNN based object detectors, feature pyramids are widely exploited to alleviate the problem of scale variation across object instances. These object detectors, which strength…
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Zhenwei He, Lei Zhang
Conventional object detection models inevitably encounter a performance drop as the domain disparity exists. Unsupervised domain adaptive object detection is proposed recently to r…
Optimal Projection Guided Transfer Hashing for Image Retrieval
Ji Liu, Lei Zhang
Recently, learning to hash has been widely studied for image retrieval thanks to the computation and storage efficiency of binary codes. For most existing learning to hash methods,…