12 citations · 24 across the 6 of their papers we have counts for
6 papers
Distilling Object Detectors With Global Knowledge
Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng +4
Knowledge distillation learns a lightweight student model that mimics a cumbersome teacher. Existing methods regard the knowledge as the feature of each instance or their relations…
PMAL: Open Set Recognition via Robust Prototype Mining
Jing Lu, Yunxu Xu, Hao Li +2
Open Set Recognition (OSR) has been an emerging topic. Besides recognizing predefined classes, the system needs to reject the unknowns. Prototype learning is a potential manner to…
ICDAR 2021 Competition on Scene Video Text Spotting
Zhanzhan Cheng, Jing Lu, Baorui Zou +2
Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in c…
Object-QA: Towards High Reliable Object Quality Assessment
Jing Lu, Baorui Zou, Zhanzhan Cheng +4
In object recognition applications, object images usually appear with different quality levels. Practically, it is very important to indicate object image qualities for better appl…
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding
Peng Zhang, Yunlu Xu, Zhanzhan Cheng +5
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes and leaflets) contain rich information, automatic document image understanding has become a hot topic. Most…
You Only Recognize Once: Towards Fast Video Text Spotting
Zhanzhan Cheng, Jing Lu, Yi Niu +3
Video text spotting is still an important research topic due to its various real-applications. Previous approaches usually fall into the four-staged pipeline: text detection in ind…