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In this paper, we identify an important reproducibility challenge in the image-to-set prediction literature that impedes proper comparisons among published methods, namely, researchers use different evaluation protocols to assess their contributions.
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Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2014
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Diederik P. Kingma and Jimmy Ba · 2014
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Microsoft coco: Common objects in context
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Zijia Lin, Guiguang Ding, Mingqing Hu, and Jianmin Wang · 2014
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Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, and Johannes Fürnkranz · 2014
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Yunchao Wei, Wei Xia, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, and Shuicheng Yan · 2014
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Weiwei Liu and Ivor W. Tsang · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Xin Shu, Darong Lai, Huanliang Xu, and Liang Tao · 2015
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Karen Simonyan and Andrew Zisserman · 2015
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Exploiting sparsity and co-occurrence structure for action unit recognition
Yale Song, Daniel McDuff, Deepak Vasisht, and Ashish Kapoor · 2015
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Semi-supervised multi-label learning with incomplete labels
Feipeng Zhao and Yuhong Guo · 2015
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Jing-Jing Chen and Chong-Wah Ngo · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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The importance of skip connections in biomedical image segmentation
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, and Chris Pal · 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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Non-stochastic best arm identification and hyperparameter optimization
Kevin Jamieson and Ameet Talwalkar · 2016
Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Learning spatial regularization with image-level supervisions for multi-label image classification
Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, and Xiaogang Wang · 2017
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Order-free rnn with visual attention for multi-label classification
Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, and Yu-Chiang Frank Wang · 2018
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Recurrent attentional reinforcement learning for multi-label image recognition
Tianshui Chen, Zhouxia Wang, Guanbin Li, and Liang Lin · 2018
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Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning
Weifeng Ge, Sibei Yang, and Yizhou Yu · 2018
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Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, and Wei Xu · 2016
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Yunchao Wei, Wei Xia, Min Lin, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, and Shuicheng Yan · 2016
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Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, and Jianfei Cai · 2016
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Mask r-cnn
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The GAN landscape: Losses, architectures, regularization, and normalization
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Liang Li, Shuhui Wang, Shuqiang Jiang, and Qingming Huang · 2018
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Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang, and Chunhong Pan · 2018
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Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, and Olivier Bousquet · 2018
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Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
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Realistic evaluation of deep semi-supervised learning algorithms
Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, and Ian J. Goodfellow · 2018
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Joint learning of set cardinality and state distribution
S Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, and Ian Reid · 2018
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Loss functions for multiset prediction
Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, and Kyunghyun Cho · 2018
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Multi-label learning with missing labels using mixed dependency graphs
Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, and Siwei Lyu · 2018
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Multilabel image classification with regional latent semantic dependencies
Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, and Jianfeng Lu · 2018
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Unreproducible research is reproducible
Xavier Bouthillier, César Laurent, and Pascal Vincent · 2019
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Multi-label image recognition with graph convolutional networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, and Yanwen Guo · 2019
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Visual attention consistency under image transforms for multi-label image classification
Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, and Song Wang · 2019
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Decoupling category-wise independence and relevance with self-attention for multi-label image classification
Luchen Liu, Sheng Guo, Weilin Huang, and Matthew R Scott · 2019
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Visual attention in multi-label image classification
Yan Luo, Ming Jiang, and Qi Zhao · 2019
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Attend and imagine: Multi-label image classification with visual attention and recurrent neural networks
Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, and Mingkui Tan · 2019
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Structured label inference for visual understanding
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, and Greg Mori · 2019
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Inverse cooking: Recipe generation from food images
Amaia Salvador, Michal Drozdzal, Xavier Giró i Nieto, and Adriana Romero · 2019
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