24 citations · 150 across the 26 of their papers we have counts for
4 papers · 2 filters
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang, Chang Liu, Yu Zhou +3
Contrastive self-supervised learning (CSL) based on instance discrimination typically attracts positive samples while repelling negatives to learn representations with pre-defined…
Handling Label Uncertainty for Camera Incremental Person Re-Identification
Zexian Yang, Dayan Wu, Wanqian Zhang +2
Incremental learning for person re-identification (ReID) aims to develop models that can be trained with a continuous data stream, which is a more practical setting for real-world…
UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection
Youhui Guo, Yu Zhou, Xugong Qin +2
Recent scene text detection methods are almost based on deep learning and data-driven. Synthetic data is commonly adopted for pre-training due to expensive annotation cost. However…
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering
Chengyang Fang, Gangyan Zeng, Yu Zhou +4
Texts in scene images convey critical information for scene understanding and reasoning. The abilities of reading and reasoning matter for the model in the text-based visual questi…