Neil M Robertson | DeepAI

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∙ 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...

1 Xinshao Wang, et al. ∙

∙ 06/02/2021

Not All Knowledge Is Created Equal

Mutual knowledge distillation (MKD) improves a model by distilling knowl...

15 Ziyun Li, et al. ∙

∙ 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...

0 Slimane Larabi, et al. ∙

∙ 06/21/2020

Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation

Recently, several approaches have been proposed to solve language genera...

0 Shiyang Yan, et al. ∙

∙ 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...

2 Xinshao Wang, et al. ∙

∙ 03/08/2020

DADA: Differentiable Automatic Data Augmentation

Data augmentation (DA) techniques aim to increase data variability, and ...

20 Yonggang Li, et al. ∙

∙ 11/20/2019

ID-aware Quality for Set-based Person Re-identification

Set-based person re-identification (SReID) is a matching problem that ai...

8 Xinshao Wang, et al. ∙

∙ 03/28/2019

Improving MAE against CCE under Label Noise

Label noise is inherent in many deep learning tasks when the training se...

10 Xinshao Wang, et al. ∙

∙ 03/27/2019

GAN-based Pose-aware Regulation for Video-based Person Re-identification

Video-based person re-identification deals with the inherent difficulty ...

22 Alessandro Borgia, et al. ∙

∙ 03/26/2019

Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection

Recently, deep learning based facial landmark detection has achieved gre...

4 Zhiwei Liu, et al. ∙

∙ 03/08/2019

Ranked List Loss for Deep Metric Learning

The objective of deep metric learning (DML) is to learn embeddings that ...

32 Xinshao Wang, et al. ∙

∙ 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...

0 Xinshao Wang, et al. ∙

∙ 12/13/2016

Deep Convolutional Poses for Human Interaction Recognition in Monocular Videos

Human interaction recognition is a challenging problem in computer visio...

0 Marcel Sheeny de Moraes, et al. ∙

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