b'Zhanyu Ma'

Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification

Classifying the sub-categories of an object from the same super-category...
06/07/2021 ∙ by Yifeng Ding, et al. ∙ 0 ∙ share

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Deep Metric Learning for Few-Shot Image Classification: A Selective Review

Few-shot image classification is a challenging problem which aims to ach...
05/17/2021 ∙ by Xiaoxu Li, et al. ∙ 0 ∙ share

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DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification

RGB-infrared person re-identification is a challenging task due to the i...
04/01/2021 ∙ by Junhui Yin, et al. ∙ 0 ∙ share

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Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning

Unsupervised person re-identification (re-ID) has become an important to...
04/01/2021 ∙ by Junhui Yin, et al. ∙ 0 ∙ share

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Duplex Contextual Relation Network for Polyp Segmentation

Polyp segmentation is of great importance in the early diagnosis and tre...
03/11/2021 ∙ by Zijin Yin, et al. ∙ 0 ∙ share

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Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features

Fine-grained visual classification is a challenging task that recognizes...
01/31/2021 ∙ by Dongliang Chang, et al. ∙ 8 ∙ share

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ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning

Recently, graph neural networks (GNNs) have shown powerful ability to ha...
01/25/2021 ∙ by Yurong Guo, et al. ∙ 0 ∙ share

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Grad-CAM guided channel-spatial attention module for fine-grained visual classification

Fine-grained visual classification (FGVC) is becoming an important resea...
01/24/2021 ∙ by Shuai Xu, et al. ∙ 0 ∙ share

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Progressive Co-Attention Network for Fine-grained Visual Classification

Fine-grained visual classification aims to recognize images belonging to...
01/21/2021 ∙ by Tian Zhang, et al. ∙ 0 ∙ share

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Knowledge Transfer Based Fine-grained Visual Classification

Fine-grained visual classification (FGVC) aims to distinguish the sub-cl...
12/21/2020 ∙ by Siqing Zhang, et al. ∙ 0 ∙ share

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Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting

Object counting aims to estimate the number of objects in images. The le...
12/15/2020 ∙ by Wei Xu, et al. ∙ 0 ∙ share

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BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification

Few-shot learning for fine-grained image classification has gained recen...
11/29/2020 ∙ by Xiaoxu Li, et al. ∙ 3 ∙ share

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Your "Labrador" is My "Dog": Fine-Grained, or Not

Whether what you see in Figure 1 is a "labrador" or a "dog", is the ques...
11/18/2020 ∙ by Dongliang Chang, et al. ∙ 4 ∙ share

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DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference

This paper proposes a dual-supervised uncertainty inference (DS-UI) fram...
11/17/2020 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Actor and Action Modular Network for Text-based Video Segmentation

The actor and action semantic segmentation is a challenging problem that...
11/02/2020 ∙ by Jianhua Yang, et al. ∙ 0 ∙ share

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CC-Loss: Channel Correlation Loss For Image Classification

The loss function is a key component in deep learning models. A commonly...
10/12/2020 ∙ by Zeyu Song, et al. ∙ 0 ∙ share

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Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

Due to lack of data, overfitting ubiquitously exists in real-world appli...
10/11/2020 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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GINet: Graph Interaction Network for Scene Parsing

Recently, context reasoning using image regions beyond local convolution...
09/14/2020 ∙ by Tianyi Wu, et al. ∙ 15 ∙ share

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SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification

Domain adaptive person re-identification (re-ID) is a challenging task d...
09/13/2020 ∙ by Junhui Yin, et al. ∙ 0 ∙ share

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ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification

Despite achieving state-of-the-art performance, deep learning methods ge...
06/27/2020 ∙ by Xiaoxu Li, et al. ∙ 0 ∙ share

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A Concise Review of Recent Few-shot Meta-learning Methods

Few-shot meta-learning has been recently reviving with expectations to m...
05/22/2020 ∙ by Xiaoxu Li, et al. ∙ 0 ∙ share

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OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

A deep neural network of multiple nonlinear layers forms a large functio...
04/20/2020 ∙ by Xiaoxu Li, et al. ∙ 0 ∙ share

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Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology

Channel attention mechanisms, as the key components of some modern convo...
03/10/2020 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization

In this paper, we propose a dual-attention guided dropblock module, and ...
03/09/2020 ∙ by Junhui Yin, et al. ∙ 0 ∙ share

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Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches

Fine-grained visual classification (FGVC) is much more challenging than ...
03/08/2020 ∙ by Ruoyi Du, et al. ∙ 6 ∙ share

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Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

Unsupervised domain adaptation aims to leverage labeled data from a sour...
03/08/2020 ∙ by Dongliang Chang, et al. ∙ 0 ∙ share

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Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building

Traditional video captioning requests a holistic description of the vide...
03/08/2020 ∙ by Fangyi Zhu, et al. ∙ 0 ∙ share

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Fine-Grained Instance-Level Sketch-Based Video Retrieval

Existing sketch-analysis work studies sketches depicting static objects ...
02/21/2020 ∙ by Peng Xu, et al. ∙ 23 ∙ share

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The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

Key for solving fine-grained image categorization is finding discriminat...
02/11/2020 ∙ by Dongliang Chang, et al. ∙ 13 ∙ share

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Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification

Classifying the sub-categories of an object from the same super-category...
02/09/2020 ∙ by Yifeng Ding, et al. ∙ 22 ∙ share

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Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is a challenging task due to the lar...
11/10/2019 ∙ by Jianjun Lei, et al. ∙ 10 ∙ share

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Competing Ratio Loss for Discriminative Multi-class Image Classification

The development of deep convolutional neural network architecture is cri...
07/31/2019 ∙ by Ke Zhang, et al. ∙ 2 ∙ share

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Deep Zero-Shot Learning for Scene Sketch

We introduce a novel problem of scene sketch zero-shot learning (SSZSL),...
05/11/2019 ∙ by Yao Xie, et al. ∙ 0 ∙ share

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On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models

Variational inference (VI) is a widely used framework in Bayesian estima...
02/13/2019 ∙ by Zhanyu Ma, et al. ∙ 10 ∙ share

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Vehicular Edge Computing via Deep Reinforcement Learning

The smart vehicles construct Vehicle of Internet which can execute vario...
12/27/2018 ∙ by Qi Qi, et al. ∙ 0 ∙ share

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Language Identification with Deep Bottleneck Features

In this paper we proposed an end-to-end short utterances speech language...
09/18/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency

In this paper, we continue our previous work on the Dirichlet mixture mo...
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Impacts of Weather Conditions on District Heat System

Using artificial neural network for the prediction of heat demand has at...
08/02/2018 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Deep Neural Network for Analysis of DNA Methylation Data

Many researches demonstrated that the DNA methylation, which occurs in t...
08/02/2018 ∙ by Hong Yu, et al. ∙ 0 ∙ share

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Classification of EEG Signal based on non-Gaussian Neutral Vector

In the design of brain-computer interface systems, classification of Ele...
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Statistical Speech Model Description with VMF Mixture Model

In this paper, we present the LSF parameters by a unit vector form, whic...
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Histogram Transform-based Speaker Identification

A novel text-independent speaker identification (SI) method is proposed....
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Mobile big data analysis with machine learning

This paper investigates to identify the requirement and the development ...
08/02/2018 ∙ by Jiyang Xie, et al. ∙ 10 ∙ share

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SEA: A Combined Model for Heat Demand Prediction

Heat demand prediction is a prominent research topic in the area of inte...
07/28/2018 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Infinite Mixture of Inverted Dirichlet Distributions

In this work, we develop a novel Bayesian estimation method for the Diri...
07/27/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint

A Bayesian approach termed BAyesian Least Squares Optimization with Nonn...
07/08/2018 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

We propose a deep hashing framework for sketch retrieval that, for the f...
04/04/2018 ∙ by Peng Xu, et al. ∙ 0 ∙ share

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Decorrelation of Neutral Vector Variables: Theory and Applications

In this paper, we propose novel strategies for neutral vector variable d...
05/30/2017 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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The Role of Data Analysis in the Development of Intelligent Energy Networks

Data analysis plays an important role in the development of intelligent ...
05/30/2017 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval

Sketch-based image retrieval (SBIR) is challenging due to the inherent d...
05/28/2017 ∙ by Peng Xu, et al. ∙ 0 ∙ share

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Zhanyu Ma

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