STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines

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.

Transparent objects

Intrinsic Bias Identification on Medical Image Datasets

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.

Attribute valid

Learning Incrementally to Segment Multiple Organs in a CT Image

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.

Incremental Learning Organ Segmentation +1