439 citations · 563 across the 3 of their papers we have counts for
3 papers
cs.CL2019★ 3 cited
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
Wei Jiang, Yan Tang
The prevalent approaches of Chinese word segmentation task almost rely on the Bi-LSTM neural network. However, the methods based the Bi-LSTM have some inherent drawbacks: hard to p…
cs.CV2019★ 121 cited
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo, Youzhi Gu, Xingyu Liao +2
This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved hi…
cs.CV2017★ 439 cited
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang, Hao Luo, Xing Fan +6
In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features. Global feature learning benefits greatly fr…