Fetching the paper…
Reading the bibliography…
Hierarchical multi-granularity classification (HMC) assigns hierarchical multi-granularity labels to each object and focuses on encoding the label hierarchy, e.g., ["Albatross", "Laysan Albatross"] from coarse-to-fine levels.
Rcv1: A new benchmark collection for text categorization research
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li · 2004
Earlier work this paper cites.
Hierarchical multi-label prediction of gene function
Z. Barutcuoglu, R. E. Schapire, and O. G. Troyanskaya · 2006
Earlier work this paper cites.
Kernel-based learning of hierarchical multilabel classification models
J. Rousu, C. Saunders, S. Szedmak, and J. Shawe-Taylor · 2006
Earlier work this paper cites.
Decision trees for hierarchical multi-label classification
C. Vens, J. Struyf, L. Schietgat, S. Džeroski, and H. Blockeel · 2008
Earlier work this paper cites.
Hierarchically classifying documents with multiple labels
A. Mayne and R. Perry · 2009
Earlier work this paper cites.
Predicting gene function using hierarchical multi-label decision tree ensembles
L. Schietgat, C. Vens, J. Struyf, H. Blockeel, D. Kocev, and S. Džeroski · 2010
Earlier work this paper cites.
Hierarchical annotation of medical images
I. Dimitrovski, D. Kocev, S. Loskovska, and S. Dzeroski · 2011
Earlier work this paper cites.
A survey of hierarchical classification across different application domains
C. N. Silla Jr and A. A. Freitas · 2011
Earlier work this paper cites.
The caltech-ucsd birds-200-2011 dataset
Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie · 2011
Earlier work this paper cites.
Hierarchical classification of diatom images using ensembles of predictive clustering trees
I. Dimitrovski, D. Kocev, S. Loskovska, and S. Džeroski · 2012
Earlier work this paper cites.
3d object representations for fine-grained categorization
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei · 2013
Earlier work this paper cites.
Fine-grained visual classification of aircraft
Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew Blaschko, and Andrea Vedaldi · 2013
Earlier work this paper cites.
Hierarchical multi-label classification using local neural networks
R. Cerri, R.C. Barros, and A. C. P. L. F. de Carvalho · 2014
Cited alongside, same era.
Large-scale object classification using label relation graphs
J. Deng, N. Ding, Y. Jia, A. Frome, K. Murphy, S. Bengio, Y. Li, H. Neven, and H. Adam · 2014
Cited alongside, same era.
Reduction strategies for hierarchical multi-label classification in protein function prediction
R. Cerri, R. C. Barros, A. C. P. L. F. de Carvalho, and Y. Jin · 2016
Cited alongside, same era.
Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
Cited alongside, same era.
Embedding label structures for fine-grained feature representation
Fine-grained representation learning and recognition by exploiting hierarchical semantic embedding
Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, and Liang Lin · 2018
Later among the works it cites.
Shufflenet v2: Practical guidelines for efficient cnn architecture design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun · 2018
Later among the works it cites.
Large-scale hierarchical text classification with recursively regularized deep graph-cnn
H. Peng, J. Li, Y. He, Y. Liu, M. Bao, L. Wang, Y. Song, and Q. Yang · 2018
Later among the works it cites.
Fine-grained image classification using modified dcnns trained by cascaded softmax and generalized large-margin losses
Weiwei Shi, Yihong Gong, Xiaoyu Tao, De Cheng, and Nanning Zheng · 2018
Later among the works it cites.
Hierarchical multi-label classification networks
J. Wehrmann, R. Cerri, and R.C. Barros · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xiaofan Zhang, Feng Zhou, Yuanqing Lin, and Shaoting Zhang · 2016
Cited alongside, same era.
Fine-grained image classification by exploring bipartite-graph labels
Feng Zhou and Yuanqing Lin · 2016
Cited alongside, same era.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
Cited alongside, same era.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Cited alongside, same era.
Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Cited alongside, same era.
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, et al · 2019
Later among the works it cites.
Hierarchical text classification with reinforced label assignment
Y. Mao, J. Tian, J. Han, and X. Ren · 2019
Later among the works it cites.
Weakly-supervised hierarchical text classification
Y. Meng, J. Shen, C. Zhang, and J. Han · 2019
Later among the works it cites.
Hierarchical multi-label text classification: An attention-based recurrent network approach
W. Huang · 2019
Later among the works it cites.
Hyperbolic interaction model for hierarchical multi-label classification
B. Chen, X. Huang, L. Xiao, Z. Cai, and L. Jing · 2020
Later among the works it cites.
Coherent hierarchical multi-label classification networks
E. Giunchiglia and T. Lukasiewicz · 2020
Later among the works it cites.
Your” flamingo” is my” bird”: Fine-grained, or not
Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, and Jun Guo · 2021
Later among the works it cites.