13 citations · 25 across the 4 of their papers we have counts for
6 papers
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Guozhi Tang, Lele Xie, Lianwen Jin +6
Visual Information Extraction (VIE) task aims to extract key information from multifarious document images (e.g., invoices and purchase receipts). Most previous methods treat the V…
Omnidirectional Scene Text Detection with Sequential-free Box Discretization
Yuliang Liu, Sheng Zhang, Lianwen Jin +3
Scene text in the wild is commonly presented with high variant characteristics. Using quadrilateral bounding box to localize the text instance is nearly indispensable for detection…
Aggregation Cross-Entropy for Sequence Recognition
Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu +3
In this paper, we propose a novel method, aggregation cross-entropy (ACE), for sequence recognition from a brand new perspective. The ACE loss function exhibits competitive perform…
Tightness-aware Evaluation Protocol for Scene Text Detection
Yuliang Liu, Lianwen Jin, Zecheng Xie +3
Evaluation protocols play key role in the developmental progress of text detection methods. There are strict requirements to ensure that the evaluation methods are fair, objective…
DeRPN: Taking a further step toward more general object detection
Lele Xie, Yuliang Liu, Lianwen Jin +1
Most current detection methods have adopted anchor boxes as regression references. However, the detection performance is sensitive to the setting of the anchor boxes. A proper sett…
Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture
Dezhi Peng, Zikai Sun, Zirong Chen +3
This paper presents a method that can accurately detect heads especially small heads under the indoor scene. To achieve this, we propose a novel method, Feature Refine Net (FRN), a…