455 citations · 3.3k across the 47 of their papers we have counts for
10 papers · 1 filter
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
Zixuan Chen, Huajun Zhou, Xiaohua Xie +1
We present a learning model that makes full use of boundary information for salient object segmentation. Specifically, we come up with a novel loss function, i.e., Contour Loss, wh…
Learnable Parameter Similarity
Guangcong Wang, Jianhuang Lai, Wenqi Liang +1
Most of the existing approaches focus on specific visual tasks while ignoring the relations between them. Estimating task relation sheds light on the learning of high-order semanti…
A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification
Jiaxuan Zhuo, Jianhuang Lai, Peijia Chen
Person re-identification (re-id) has made great progress in recent years, but occlusion is still a challenging problem which significantly degenerates the identification performanc…
Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia +5
While very deep neural networks have shown effectiveness for computer vision and text classification applications, how to increase the network depth of neural machine translation (…
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection
Pei-Zhen Li, Ling Huang, Chang-Dong Wang +1
Network community detection is a hot research topic in network analysis. Although many methods have been proposed for community detection, most of them only take into consideration…
Unsupervised Person Re-identification by Soft Multilabel Learning
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu +3
Although unsupervised person re-identification (RE-ID) has drawn increasing research attentions due to its potential to address the scalability problem of supervised RE-ID models,…