research
∙
12/07/2022
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
Along with the widespread use of face recognition systems, their vulnera...
share
research
∙
04/15/2022
Dense Learning based Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) aims to facilitate the training ...
research
∙
08/18/2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
In crowd counting, due to the problem of laborious labelling, it is perc...
research
∙
08/16/2019
Mixed High-Order Attention Network for Person Re-Identification
Attention has become more attractive in person reidentification (ReID) a...
research
∙
07/27/2019
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
In zero-shot image retrieval (ZSIR) task, embedding learning becomes mor...
research
∙
04/04/2019
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Deep metric learning, which learns discriminative features to process im...
research
∙
01/22/2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Deep metric learning has been widely applied in many computer vision tas...
research
∙
11/30/2018
Virtual Class Enhanced Discriminative Embedding Learning
Recently, learning discriminative features to improve the recognition pe...
research
∙
11/20/2018
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
The performance of face detectors has been largely improved with the dev...
research
∙
06/04/2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Deep embedding learning becomes more attractive for discriminative featu...
research
∙
08/12/2017
