Dongliang Chang | DeepAI

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Haibin Ling
101 publications
Yi-Zhe Song
93 publications
Jingyi Yu
87 publications
Zhanyu Ma
62 publications
Jun Guo
61 publications
Zheng-Hua Tan
57 publications
Yongbin Li
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Aneeshan Sain
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∙ 11/30/2022

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification

The main challenge for fine-grained few-shot image classification is to ...

0 Jijie Wu, et al. ∙

∙ 06/02/2022

Multi-View Active Fine-Grained Recognition

As fine-grained visual classification (FGVC) being developed for decades...

0 Ruoyi Du, et al. ∙

∙ 01/20/2022

Domain Generalization via Frequency-based Feature Disentanglement and Interaction

Data out-of-distribution is a meta-challenge for all statistical learnin...

0 Jingye Wang, et al. ∙

∙ 12/06/2021

Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data

Despite great strides made on fine-grained visual classification (FGVC),...

0 Ruoyi Du, et al. ∙

∙ 12/06/2021

Making a Bird AI Expert Work for You and Me

As powerful as fine-grained visual classification (FGVC) is, responding ...

0 Dongliang Chang, et al. ∙

∙ 01/31/2021

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

Fine-grained visual classification is a challenging task that recognizes...

8 Dongliang Chang, et al. ∙

∙ 01/24/2021

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

Fine-grained visual classification (FGVC) is becoming an important resea...

0 Shuai Xu, et al. ∙

∙ 01/21/2021

Progressive Co-Attention Network for Fine-grained Visual Classification

Fine-grained visual classification aims to recognize images belonging to...

0 Tian Zhang, et al. ∙

∙ 12/21/2020

Knowledge Transfer Based Fine-grained Visual Classification

Fine-grained visual classification (FGVC) aims to distinguish the sub-cl...

0 Siqing Zhang, et al. ∙

∙ 11/18/2020

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...

4 Dongliang Chang, et al. ∙

∙ 10/12/2020

CC-Loss: Channel Correlation Loss For Image Classification

The loss function is a key component in deep learning models. A commonly...

0 Zeyu Song, et al. ∙

∙ 04/20/2020

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

A deep neural network of multiple nonlinear layers forms a large functio...

0 Xiaoxu Li, et al. ∙

∙ 03/10/2020

Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology

Channel attention mechanisms, as the key components of some modern convo...

0 Jiyang Xie, et al. ∙

∙ 03/09/2020

Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization

In this paper, we propose a dual-attention guided dropblock module, and ...

0 Junhui Yin, et al. ∙

∙ 03/08/2020

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

Fine-grained visual classification (FGVC) is much more challenging than ...

6 Ruoyi Du, et al. ∙

∙ 03/08/2020

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

Unsupervised domain adaptation aims to leverage labeled data from a sour...

0 Dongliang Chang, et al. ∙

∙ 02/11/2020

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

Key for solving fine-grained image categorization is finding discriminat...

13 Dongliang Chang, et al. ∙

∙ 02/09/2020

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

Classifying the sub-categories of an object from the same super-category...

22 Yifeng Ding, et al. ∙

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