research
∙
06/30/2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State
To train robust deep neural networks (DNNs), we systematically study sev...
share
research
∙
06/02/2021
Not All Knowledge Is Created Equal
Mutual knowledge distillation (MKD) improves a model by distilling knowl...
research
∙
07/21/2020
An Image Analogies Approach for Multi-Scale Contour Detection
In this paper we deal with contour detection based on the recent image a...
research
∙
06/21/2020
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation
Recently, several approaches have been proposed to solve language genera...
research
∙
05/07/2020
ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise
In this work, we address robust deep learning under label noise (semi-su...
research
∙
03/08/2020
DADA: Differentiable Automatic Data Augmentation
Data augmentation (DA) techniques aim to increase data variability, and ...
research
∙
11/20/2019
ID-aware Quality for Set-based Person Re-identification
Set-based person re-identification (SReID) is a matching problem that ai...
research
∙
03/28/2019
Improving MAE against CCE under Label Noise
Label noise is inherent in many deep learning tasks when the training se...
research
∙
03/27/2019
GAN-based Pose-aware Regulation for Video-based Person Re-identification
Video-based person re-identification deals with the inherent difficulty ...
research
∙
03/26/2019
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection
Recently, deep learning based facial landmark detection has achieved gre...
research
∙
03/08/2019
Ranked List Loss for Deep Metric Learning
The objective of deep metric learning (DML) is to learn embeddings that ...
research
∙
11/04/2018
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Deep metric learning aims to learn a deep embedding that can capture the...
research
∙
12/13/2016
