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

Nov 18, 2020
Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo


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CC-Loss: Channel Correlation Loss For Image Classification

Oct 12, 2020
Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan

* accepted by ICPR2020 

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

Apr 20, 2020
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo

* TIP 2020. Code available at https://github.com/dongliangchang/OSLNet 

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Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization

Mar 19, 2020
Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo

* Technical Reports 

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

Mar 10, 2020
Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo


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

Mar 10, 2020
Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo


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Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology

Mar 10, 2020
Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo


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

Feb 11, 2020
Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song


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

Feb 09, 2020
Yifeng Ding, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhanyu Ma, Zhongwei Si, Haibin Ling


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Competing Ratio Loss for Discriminative Multi-class Image Classification

Dec 25, 2019
Ke Zhang, Xinsheng Wang, Yurong Guo, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han

* Submitted to TIP. arXiv admin note: substantial text overlap with arXiv:1907.13349 

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Channel Max Pooling Layer for Fine-Grained Vehicle Classification

Feb 14, 2019
Zhanyu Ma, Dongliang Chang, Xiaoxu Li

* Report of ongoing work 

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