3 papers
cs.CV2022
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
Zelin Xu, Yichen Zhang, Ke Chen +1
The challenges of learning a robust 6D pose function lie in 1) severe occlusion and 2) systematic noises in depth images. Inspired by the success of point-pair features, the goal o…
cs.CV2022
Mix-up Self-Supervised Learning for Contrast-agnostic Applications
Yichen Zhang, Yifang Yin, Ying Zhang +1
Contrastive self-supervised learning has attracted significant research attention recently. It learns effective visual representations from unlabeled data by embedding augmented vi…
cs.CV2021
Unsupervised data augmentation for object detection
Yichen Zhang, Zeyang Song, Wenbo Li
Data augmentation has always been an effective way to overcome overfitting issue when the dataset is small. There are already lots of augmentation operations such as horizontal fli…