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Dongliang Chang
Dongliang Chang
BUPT-Beijing University of Posts and Telecommunications
Verified email at bupt.edu.cn - Homepage
Title
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Cited by
Year
The devil is in the channels: Mutual-channel loss for fine-grained image classification
D Chang, Y Ding, J Xie, AK Bhunia, X Li, Z Ma, M Wu, J Guo, YZ Song
IEEE Transactions on Image Processing 29, 4683-4695, 2020
1462020
Prediction of short-term PV power output and uncertainty analysis
L Liu, Y Zhao, D Chang, J Xie, Z Ma, Q Sun, H Yin, R Wennersten
Applied energy 228, 700-711, 2018
1292018
Fine-grained visual classification via progressive multi-granularity training of jigsaw patches
R Du, D Chang, AK Bhunia, J Xie, Z Ma, YZ Song, J Guo
European Conference on Computer Vision, 153-168, 2020
1042020
Dual cross-entropy loss for small-sample fine-grained vehicle classification
X Li, L Yu, D Chang, Z Ma, J Cao
IEEE Transactions on Vehicular Technology 68 (5), 4204-4212, 2019
812019
Fine-grained vehicle classification with channel max pooling modified CNNs
Z Ma, D Chang, J Xie, Y Ding, S Wen, X Li, Z Si, J Guo
IEEE Transactions on Vehicular Technology 68 (4), 3224-3233, 2019
802019
AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification
Y Ding, Z Ma, S Wen, J Xie, D Chang, Z Si, M Wu, H Ling
IEEE Transactions on Image Processing 30, 2826-2836, 2021
452021
Softmax cross entropy loss with unbiased decision boundary for image classification
J Cao, Z Su, L Yu, D Chang, X Li, Z Ma
2018 Chinese Automation Congress (CAC), 2028-2032, 2018
242018
Large-margin regularized softmax cross-entropy loss
X Li, D Chang, T Tian, J Cao
IEEE access 7, 19572-19578, 2019
202019
Your "Flamingo" is My Bird": Fine-Grained, or Not
D Chang, K Pang, Y Zheng, Z Ma, YZ Song, J Guo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern K, 2021
17*2021
Oslnet: Deep small-sample classification with an orthogonal softmax layer
X Li, D Chang, Z Ma, ZH Tan, JH Xue, J Cao, J Yu, J Guo
IEEE Transactions on Image Processing 29, 6482-6495, 2020
162020
Progressive learning of category-consistent multi-granularity features for fine-grained visual classification
R Du, J Xie, Z Ma, D Chang, YZ Song, J Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
112021
Gpca: A probabilistic framework for gaussian process embedded channel attention
J Xie, Z Ma, D Chang, G Zhang, J Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
102021
Progressive co-attention network for fine-grained visual classification
T Zhang, D Chang, Z Ma, J Guo
2021 International Conference on Visual Communications and Image Processing K, 2021
72021
Deep InterBoost networks for small-sample image classification
X Li, D Chang, Z Ma, ZH Tan, JH Xue, J Cao, J Guo
Neurocomputing 456, 492-503, 2021
72021
Iu-module: Intersection and union module for fine-grained visual classification
Y Zheng, D Chang, J Xie, Z Ma
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
72020
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
S Xu, D Chang, J Xie, Z Ma
2021 IEEE 31st International Workshop on Machine Learning for Signal K, 2021
32021
Mixed attention mechanism for small-sample fine-grained image classification
X Li, J Wu, D Chang, W Huang, Z Ma, J Cao
2019 Asia-Pacific Signal and Information Processing Association Annual K, 2019
32019
Channel max pooling layer for fine-grained vehicle classification
Z Ma, D Chang, X Li
arXiv preprint arXiv:1902.11107, 2019
32019
Dual-attention guided dropblock module for weakly supervised object localization
J Yin, S Zhang, D Chang, Z Ma, J Guo
2020 25th International Conference on Pattern Recognition (ICPR), 4229-4236, 2021
22021
Fical: Focal inter-class angular loss for image classification
X Wei, D Chang, J Xie, Y Zheng, C Gong, C Zhang, Z Ma
2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019
22019
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Articles 1–20