activity
20152022
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 1.7k across the 26 of their papers we have counts for

collaborators

50 papers

cs.CV20222 cited

Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling

Yan Xu, Junyi Lin, Jianping Shi +3

The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans. However, given the complex scenarios and the low-resolution…

cs.CV202124 cited

Towards Balanced Learning for Instance Recognition

Jiangmiao Pang, Kai Chen, Qi Li +5

Instance recognition is rapidly advanced along with the developments of various deep convolutional neural networks. Compared to the architectures of networks, the training process,…

cs.CV20218 cited

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

Xiangtai Li, Hao He, Xia Li +6

Aerial Image Segmentation is a particular semantic segmentation problem and has several challenging characteristics that general semantic segmentation does not have. There are two…

cs.RO2020

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds

Tai Wang, Conghui He, Zhe Wang +2

Recent years have witnessed the rapid progress of perception algorithms on top of LiDAR, a widely adopted sensor for autonomous driving systems. These LiDAR-based solutions are typ…

cs.CV20204 cited

Channel-wise Alignment for Adaptive Object Detection

Hang Yang, Shan Jiang, Xinge Zhu +4

Generic object detection has been immensely promoted by the development of deep convolutional neural networks in the past decade. However, in the domain shift circumstance, the cha…

cs.LG2020

Understanding the wiring evolution in differentiable neural architecture search

Sirui Xie, Shoukang Hu, Xinjiang Wang +4

Controversy exists on whether differentiable neural architecture search methods discover wiring topology effectively. To understand how wiring topology evolves, we study the underl…