Yazhou Yao

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Nanjing University

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge

WebFG 2020 is an international challenge hosted by Nanjing University of...
12/29/2020 ∙ by Xiu-Shen Wei, et al. ∙ 10 ∙ share

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Field-wise Learning for Multi-field Categorical Data

We propose a new method for learning with multi-field categorical data. ...
12/01/2020 ∙ by Zhibin Li, et al. ∙ 0 ∙ share

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Data-driven Meta-set Based Fine-Grained Visual Classification

Constructing fine-grained image datasets typically requires domain-speci...
08/06/2020 ∙ by Chuanyi Zhang, et al. ∙ 0 ∙ share

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Salvage Reusable Samples from Noisy Data for Robust Learning

Due to the existence of label noise in web images and the high memorizat...
08/06/2020 ∙ by Zeren Sun, et al. ∙ 4 ∙ share

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PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks

Despite significant progress of applying deep learning methods to the fi...
05/02/2020 ∙ by Benyi Hu, et al. ∙ 25 ∙ share

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Motion-Attentive Transition for Zero-Shot Video Object Segmentation

In this paper, we present a novel Motion-Attentive Transition Network (M...
03/09/2020 ∙ by Tianfei Zhou, et al. ∙ 2 ∙ share

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Extracting Visual Knowledge from the Internet: Making Sense of Image Data

Recent successes in visual recognition can be primarily attributed to fe...
06/07/2019 ∙ by Yazhou Yao, et al. ∙ 5 ∙ share

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Dynamically Visual Disambiguation of Keyword-based Image Search

Due to the high cost of manual annotation, learning directly from the we...
05/27/2019 ∙ by Yazhou Yao, et al. ∙ 0 ∙ share

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Deep Representation Learning for Road Detection through Siamese Network

Robust road detection is a key challenge in safe autonomous driving. Rec...
05/26/2019 ∙ by Huafeng Liu, et al. ∙ 0 ∙ share

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Road Segmentation with Image-LiDAR Data Fusion

Robust road segmentation is a key challenge in self-driving research. Th...
05/26/2019 ∙ by Huafeng Liu, et al. ∙ 0 ∙ share

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Towards Automatic Construction of Diverse, High-quality Image Dataset

The availability of labeled image datasets has been shown critical for h...
08/22/2017 ∙ by Yazhou Yao, et al. ∙ 0 ∙ share

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Refining Image Categorization by Exploiting Web Images and General Corpus

Studies show that refining real-world categories into semantic subcatego...
03/16/2017 ∙ by Yazhou Yao, et al. ∙ 0 ∙ share

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Exploiting Web Images for Dataset Construction: A Domain Robust Approach

Labelled image datasets have played a critical role in high-level image ...
11/22/2016 ∙ by Yazhou Yao, et al. ∙ 0 ∙ share

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Yazhou Yao

Featured Co-authors

Jian Zhang

Ling Shao

Yi Zhou

Li Liu

Qi Wu

Qing Li

Heng Tao Shen

Limin Wang

Qiang Wu

Fumin Shen

Xian-Sheng Hua

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge

Field-wise Learning for Multi-field Categorical Data

Data-driven Meta-set Based Fine-Grained Visual Classification

Salvage Reusable Samples from Noisy Data for Robust Learning

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

Extracting Visual Knowledge from the Internet: Making Sense of Image Data

Dynamically Visual Disambiguation of Keyword-based Image Search

Deep Representation Learning for Road Detection through Siamese Network

Road Segmentation with Image-LiDAR Data Fusion

Towards Automatic Construction of Diverse, High-quality Image Dataset

Refining Image Categorization by Exploiting Web Images and General Corpus

Exploiting Web Images for Dataset Construction: A Domain Robust Approach