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Extracting discriminative features plays a crucial role in the fine-grained visual classification task.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Novel dataset for fine-grained image categorization: Stanford dogs
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Fei-Fei Li · 2011
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The caltech-ucsd birds-200-2011 dataset
Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie · 2011
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Symbiotic segmentation and part localization for fine-grained categorization
Yuning Chai, Victor Lempitsky, and Andrew Zisserman · 2013
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Fine-grained categorization by alignments
Efstratios Gavves, Basura Fernando, Cees GM Snoek, Arnold WM Smeulders, and Tinne Tuytelaars · 2013
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Fine-grained visual classification of aircraft
Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew Blaschko, and Andrea Vedaldi · 2013
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Hierarchical part matching for fine-grained visual categorization
Lingxi Xie, Qi Tian, Richang Hong, Shuicheng Yan, and Bo Zhang · 2013
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Bird species categorization using pose normalized deep convolutional nets
Steve Branson, Grant Van Horn, Serge Belongie, and Pietro Perona · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Part-based r-cnns for fine-grained category detection
Ning Zhang, Jeff Donahue, Ross Girshick, and Trevor Darrell · 2014
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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Bilinear cnn models for fine-grained visual recognition
Tsung-Yu Lin, Aruni RoyChowdhury, and Subhransu Maji · 2015
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Hyper-class augmented and regularized deep learning for fine-grained image classification
Saining Xie, Tianbao Yang, Xiaoyu Wang, and Yuanqing Lin · 2015
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Weakly supervised localization using deep feature maps
Archith J. Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, and B. S. Manjunath · 2016
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Weakly supervised deep detection networks
Hakan Bilen and Andrea Vedaldi · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Mining discriminative triplets of patches for fine-grained classification
Yaming Wang, Jonghyun Choi, Vlad Morariu, and Larry S Davis · 2016
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Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alexander J. Smola · 2016
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Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
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Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition
Jianlong Fu, Heliang Zheng, and Tao Mei · 2017
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Fine-grained recognition in the wild: A multi-task domain adaptation approach
Timnit Gebru, Judy Hoffman, and Li Fei-Fei · 2017
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Two-phase learning for weakly supervised object localization
Dahun Kim, Donghyeon Cho, and Donggeun Yoo · 2017
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Fine-grained recognition as hsnet search for informative image parts
Michael Lam, Behrooz Mahasseni, and Sinisa Todorovic · 2017
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Dynamic computational time for visual attention
Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, and Wei Xu · 2017
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Improved bilinear pooling with cnns
Tsung-Yu Lin and Subhransu Maji · 2017
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Selective convolutional descriptor aggregation for fine-grained image retrieval
Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, and Zhi-Hua Zhou · 2017
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Learning multi-attention convolutional neural network for fine-grained image recognition
Heliang Zheng, Jianlong Fu, Tao Mei, and Jiebo Luo · 2017
Cited alongside, same era.
Large scale fine-grained categorization and domain-specific transfer learning
Yin Cui, Yang Song, Chen Sun, Andrew Howard, and Serge J. Belongie · 2018
The devil is in the channels: Mutual-channel loss for fine-grained image classification
D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, and Y. Song · 2020
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Channel interaction networks for fine-grained image categorization
Yu Gao, Xintong Han, Xun Wang, Weilin Huang, and Matthew Scott · 2020
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Elope: Fine-grained visual classification with efficient localization, pooling and embedding
Harald Hanselmann and Hermann Ney · 2020
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Interpretable and accurate fine-grained recognition via region grouping
Zixuan Huang and Yin Li · 2020
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Attention convolutional binary neural tree for fine-grained visual categorization
Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, and Feiyue Huang · 2020
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Pairwise confusion for fine-grained visual classification
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, and Nikhil Naik · 2018
Cited alongside, same era.
Maximum-entropy fine grained classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, and Nikhil Naik · 2018
Cited alongside, same era.
Weakly supervised bilinear attention network for fine-grained visual classification
Tao Hu, Jizheng Xu, Cong Huang, Honggang Qi, Qingming Huang, and Yan Lu · 2018
Cited alongside, same era.
Bilinear attention networks
Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang · 2018
Cited alongside, same era.
Multi-attention multi-class constraint for fine-grained image recognition
Ming Sun, Yuchen Yuan, Feng Zhou, and Errui Ding · 2018
Cited alongside, same era.
Learning a discriminative filter bank within a cnn for fine-grained recognition
Yaming Wang, Vlad I Morariu, and Larry S Davis · 2018
Cited alongside, same era.
Guolei Sun, Hisham Cholakkal, Salman Khan, Fahad Khan, and Ling Shao · 2020
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Progressive adversarial networks for fine-grained domain adaptation
Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, and Jianmin Wang · 2020
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Graph-propagation based correlation learning for weakly supervised fine-grained image classification
Zhuhui Wang, Shijie Wang, Haojie Li, Zhi Dou, and Jianjun Li · 2020
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Weakly supervised fine-grained image classification via guassian mixture model oriented discriminative learning
Zhihui Wang, Shijie Wang, Shuhui Yang, Haojie Li, Jianjun Li, and Zezhou Li · 2020
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Look-into-object: Self-supervised structure modeling for object recognition
Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, and Tao Mei · 2020
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Learning attentive pairwise interaction for fine-grained classification
Peiqin Zhuang, Yali Wang, and Yu Qiao · 2020
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Exploring vision transformers for fine-grained classification
Marcos V. Conde and Kerem Turgutlu · 2021
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Multiple meta-model quantifying for medical visual question answering
Tuong Do, Binh X Nguyen, Erman Tjiputra, Minh Tran, Quang D Tran, and Anh Nguyen · 2021
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Snapmix: Semantically proportional mixing for augmenting fine-grained data
Shaoli Huang, Xinchao Wang, and Dacheng Tao · 2021
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Stochastic partial swap: Enhanced model generalization and interpretability for fine-grained recognition
Shaoli Huang, Xinchao Wang, and Dacheng Tao · 2021
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Learning canonical 3d object representation for fine-grained recognition
Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, and Kwanghoon Sohn · 2021
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Global-local attention for emotion recognition
Nhat Le, Khanh Nguyen, Anh Nguyen, and Bac Le · 2021
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Coarse-to-fine reasoning for visual question answering
Binh X Nguyen, Tuong Do, Huy Tran, Erman Tjiputra, Quang D Tran, and Anh Nguyen · 2021
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Graph-based person signature for person re-identifications
Binh X Nguyen, Binh D Nguyen, Tuong Do, Erman Tjiputra, Quang D Tran, and Anh Nguyen · 2021
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Counterfactual attention learning for fine-grained visual categorization and re-identification
Yongming Rao, Guangyi Chen, Jiwen Lu, and Jie Zhou · 2021
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Nasoa: Towards faster task-oriented online fine-tuning with a zoo of models
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, and Zhenguo Li · 2021
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Multi-branch and multi-scale attention learning for fine-grained visual categorization
Fan Zhang, Meng Li, Guisheng Zhai, and Yizhao Liu · 2021
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Graph-based high-order relation discovery for fine-grained recognition
Yifan Zhao, Ke Yan, Feiyue Huang, and Jia Li · 2021
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Deep federated learning for autonomous driving
Anh Nguyen, Tuong Do, Minh Tran, Binh X Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, and Quang D Tran · 2022
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Light-weight deformable registration using adversarial learning with distilling knowledge
Minh Q Tran, Tuong Do, Huy Tran, Erman Tjiputra, Quang D Tran, and Anh Nguyen · 2022
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