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 | 317 | 2020 |
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 | 307 | 2020 |
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 | 228 | 2018 |
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 | 137 | 2019 |
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 | 134 | 2021 |
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 | 134 | 2019 |
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 …, 2021 | 94 | 2021 |
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 44 (12), 9521 …, 2021 | 58 | 2021 |
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 …, 2021 | 44 | 2021 |
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 | 43 | 2018 |
Large-margin regularized softmax cross-entropy loss X Li, D Chang, T Tian, J Cao IEEE access 7, 19572-19578, 2019 | 36 | 2019 |
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 | 32 | 2020 |
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 44 (11), 8230 …, 2021 | 31 | 2021 |
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 …, 2021 | 30 | 2021 |
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction J Wang, R Du, D Chang, K Liang, Z Ma Proceedings of the 30th ACM International Conference on Multimedia, 4821-4829, 2022 | 17* | 2022 |
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 | 11 | 2021 |
Cc-loss: Channel correlation loss for image classification Z Song, D Chang, Z Ma, X Li, ZH Tan ICPR, 7601-7608, 2021 | 8 | 2021 |
Dual-attention guided dropblock module for weakly supervised object localization J Yin, S Zhang, D Chang, Z Ma, J Guo ICPR, 4229-4236, 2021 | 8 | 2021 |
Iu-module: Intersection and union module for fine-grained visual classification Y Zheng, D Chang, J Xie, Z Ma ICME, 1-6, 2020 | 8 | 2020 |
Bi-directional feature reconstruction network for fine-grained few-shot image classification J Wu, D Chang, A Sain, X Li, Z Ma, J Cao, J Guo, YZ Song Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 2821-2829, 2023 | 6 | 2023 |