activity
20162025
most citedPP-YOLO: An Effective and Efficient Implementation of Object Detector

234 citations · 2k across the 144 of their papers we have counts for

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Showing 2019Show all

16 papers · 1 filter

cs.CV2019★ 16 cited

HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces

Yang Liu, Xu Tang, Xiang Wu +3

Current face detectors utilize anchors to frame a multi-task learning problem which combines classification and bounding box regression. Effective anchor design and anchor matching…

cs.CV2019★ 18 cited

Dynamic Instance Normalization for Arbitrary Style Transfer

Yongcheng Jing, Xiao Liu, Yukang Ding +4

Prior normalization methods rely on affine transformations to produce arbitrary image style transfers, of which the parameters are computed in a pre-defined way. Such manually-defi…

cs.CV2019★ 45 cited

ACFNet: Attentional Class Feature Network for Semantic Segmentation

Fan Zhang, Yanqin Chen, Zhihang Li +5

Recent works have made great progress in semantic segmentation by exploiting richer context, most of which are designed from a spatial perspective. In contrast to previous works, w…

cs.CV2019★ 3 cited

EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

He guo, Xiameng Qin, Jiaming Liu +3

Extracting entity from images is a crucial part of many OCR applications, such as entity recognition of cards, invoices, and receipts. Most of the existing works employ classical d…

cs.CV2019★ 12 cited

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT

Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9

Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a challenging scenario heavi…

cs.CV2019★ 30 cited

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Chee-Kheng Chng, Yuliang Liu, Yipeng Sun +11

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recogn…