no code implementations • 9 Oct 2023 • Yuxuan Kuang, Qin Han, Danshi Li, Qiyu Dai, Lian Ding, Dong Sun, Hanlin Zhao, He Wang
In this work, we present STOPNet, a framework for 6-DoF object suction detection on production lines, with a focus on but not limited to transparent objects, which is an important and challenging problem in robotic systems and modern industry.
no code implementations • 24 Mar 2022 • Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu
However, scientists and practitioners are difficult to identify implicit biases in the datasets, which causes lack of reliable unbias test datasets to valid models.
no code implementations • 4 Mar 2022 • Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou
In each incremental learning (IL) stage, we lose the access to previous data and annotations, whose knowledge is assumingly captured by the current model, and gain the access to a new dataset with annotations of new organ categories, from which we learn to update the organ segmentation model to include the new organs.