1 citations · 3 across the 5 of their papers we have counts for
5 papers
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking
Pan Wang, Liangliang Ren, Shengkai Wu +4
The point cloud based 3D single object tracking has drawn increasing attention. Although many breakthroughs have been achieved, we also reveal two severe issues. By extensive analy…
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics
Lijun Gou, Jinrong Yang, Hangcheng Yu +3
Unsupervised domain adaptation is critical in various computer vision tasks, such as object detection, instance segmentation, etc. They attempt to reduce domain bias-induced perfor…
Carton dataset synthesis method for domain shift based on foreground texture decoupling and replacement
Lijun Gou, Shengkai Wu, Jinrong Yang +4
One major impediment in rapidly deploying object detection models for industrial applications is the lack of large annotated datasets. We currently have presented the Sacked Carton…
Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
Shengkai Wu, Jinrong Yang, Hangcheng Yu +2
For most of the anchor-based detectors, Intersection over Union(IoU) is widely utilized to assign targets for the anchors during training. However, IoU pays insufficient attention…
SCD: A Stacked Carton Dataset for Detection and Segmentation
Jinrong Yang, Shengkai Wu, Lijun Gou +5
Carton detection is an important technique in the automatic logistics system and can be applied to many applications such as the stacking and unstacking of cartons, the unloading o…